Public record
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 15:26 UTC

sbroenne / mcp-server-excel

Excel MCP Server & CLI - 23 tools, 214 operations for AI-powered Excel automation via COM API

C#MIT★ 332 stars⑂ 52 forkssince Oct 2025View on GitHub ↗

sbroenne/mcp-server-excel holds a health index of 69 out of 100, placing it in the Moderate band. It scores highest on Vitality (89/100) and lowest on Security (51/100). It was last updated today. A single contributor accounts for most of its recent work.

69
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

69
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

Stefan BroennerPersonal account
28 followers21 public repossince Dec 2012Microsoft

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npmexcel-mcppoints to another repo — not scored1.0.51496417 days agoexcelcsvmcpmodelcontextprotocol

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

89Excellent · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
24.2/36Commit cadence — 35/52 weeks with commits
18/18Commit volume — 463 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year463
human_commit_share
days_since_last_push0
active_weeks_last_year35
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~5.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.9.5
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases5.4

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

67Moderate · 18% of overall
How it's scored
40.9/60Stars — 332 stars
14.2/25Forks — 52 forks
3.9/15Watchers — 6 watchers
Inputs used
forks52
stars332
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductno
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

51Moderate · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5/22.5Commit distribution — top contributor authored 78% of commits
6.8/13.5Contributor breadth — 5 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.778
How it's scored
46.8/46.8Issue resolution — 100% of issues closed
35.4/38.3PR acceptance — 460/497 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs460
open_issues0
closed_issues212
issue_closed_ratio1
closed_unmerged_prs37
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
10.5/25Owner reach — 28 followers of sbroenne
21.8/25Track record — 21 public repos, account ~13 yr old
Inputs used
followers28
owner_typeUser
is_verified
owner_loginsbroenne
public_repos21
account_age_days4,964
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

83Good · 20% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://excelmcpserver.dev/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsexcel, mcp-server, claude-ai, excel-automation, github-copilot, model-context-protocol, power-pivot, ai-automation, com-automation, dax, dotnet, power-query, vba, windows, excel-tables, conditional-formatting, excel-charts, named-ranges, data-connections, excel-pivottables
has_wikiyes
homepagehttps://excelmcpserver.dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

51Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 11 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.1

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

68Moderate · 0% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, .github/instructions/architecture-patterns.instructions.md, .github/instructions/bug-fixing-checklist.instructions.md, .github/instructions/coverage-prevention-strategy.instructions.md, .github/instructions/critical-rules.instructions.md, .github/instructions/development-workflow.instructions.md, .github/instructions/documentation-structure.instructions.md, .github/instructions/excel-com-interop.instructions.md, .github/instructions/excel-connection-types-guide.instructions.md, .github/instructions/llm-testing-philosophy.instructions.md, .github/instructions/mcp-llm-guidance.instructions.md, .github/instructions/mcp-server-guide.instructions.md, .github/instructions/meta.instructions.md, .github/instructions/readme-management.instructions.md, .github/instructions/testing-strategy.instructions.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files.github/copilot-instructions.md, .github/instructions/architecture-patterns.instructions.md, .github/instructions/bug-fixing-checklist.instructions.md, .github/instructions/coverage-prevention-strategy.instructions.md, .github/instructions/critical-rules.instructions.md, .github/instructions/development-workflow.instructions.md, .github/instructions/documentation-structure.instructions.md, .github/instructions/excel-com-interop.instructions.md, .github/instructions/excel-connection-types-guide.instructions.md, .github/instructions/llm-testing-philosophy.instructions.md, .github/instructions/mcp-llm-guidance.instructions.md, .github/instructions/mcp-server-guide.instructions.md, .github/instructions/meta.instructions.md, .github/instructions/readme-management.instructions.md, .github/instructions/testing-strategy.instructions.md
agent_instruction_max_bytes49,787
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — llm-tests/pyrightconfig.json, vscode-extension/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageyes
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configsllm-tests/pyrightconfig.json, vscode-extension/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
45/45Type-checkable code — C# (statically typed)
54.4/55Manageable file sizes — 5/459 source files over 60KB
Inputs used
primary_languageC#
largest_source_bytes91,695
source_files_sampled459
oversized_source_files5
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files

Key facts

332GitHub stars
5contributors
463commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'excelmcp-llm-tests' from its registry
  • npm package 'excel-mcp' points at a different repository (git+https://github.com/choco9527/excel-mcp.git); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 5.1 / 10
5.1aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-17 15:26 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities11 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIpytest>=9.0.3llm-tests/pyproject.toml
PyPIpytest-asyncio>=1.3llm-tests/pyproject.toml
PyPIpython-dotenv>=1.2llm-tests/pyproject.toml
PyPIpytest-skill-engineering>=0.5.9llm-tests/pyproject.toml
PyPIazure-identity>=1.25llm-tests/pyproject.toml
PyPIpytest-timeout>=2.4.0llm-tests/pyproject.toml
PyPIpillow>=12.2.0llm-tests/pyproject.toml
All dependencies 485

Full resolved dependency set from the GitHub dependency graph: 7 direct and 478 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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          {
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          {
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                "key": "openssf_scorecard_contributors",
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                "points": 3,
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                "key": "owner_reach",
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                "key": "track_record",
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                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "29 out of 30 merged PRs checked by a CI test -- score normalized to 9",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/29 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool detected but not run on all commits",
                "points": 3.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "11 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 2
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 68,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                ".github/copilot-instructions.md",
                ".github/instructions/architecture-patterns.instructions.md",
                ".github/instructions/bug-fixing-checklist.instructions.md",
                ".github/instructions/coverage-prevention-strategy.instructions.md",
                ".github/instructions/critical-rules.instructions.md",
                ".github/instructions/development-workflow.instructions.md",
                ".github/instructions/documentation-structure.instructions.md",
                ".github/instructions/excel-com-interop.instructions.md",
                ".github/instructions/excel-connection-types-guide.instructions.md",
                ".github/instructions/llm-testing-philosophy.instructions.md",
                ".github/instructions/mcp-llm-guidance.instructions.md",
                ".github/instructions/mcp-server-guide.instructions.md",
                ".github/instructions/meta.instructions.md",
                ".github/instructions/readme-management.instructions.md",
                ".github/instructions/testing-strategy.instructions.md"
              ],
              "agent_instruction_max_bytes": 49787
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": ".github/copilot-instructions.md, .github/instructions/architecture-patterns.instructions.md, .github/instructions/bug-fixing-checklist.instructions.md, .github/instructions/coverage-prevention-strategy.instructions.md, .github/instructions/critical-rules.instructions.md, .github/instructions/development-workflow.instructions.md, .github/instructions/documentation-structure.instructions.md, .github/instructions/excel-com-interop.instructions.md, .github/instructions/excel-connection-types-guide.instructions.md, .github/instructions/llm-testing-philosophy.instructions.md, .github/instructions/mcp-llm-guidance.instructions.md, .github/instructions/mcp-server-guide.instructions.md, .github/instructions/meta.instructions.md, .github/instructions/readme-management.instructions.md, .github/instructions/testing-strategy.instructions.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".github/copilot-instructions.md, .github/instructions/architecture-patterns.instructions.md, .github/instructions/bug-fixing-checklist.instructions.md, .github/instructions/coverage-prevention-strategy.instructions.md, .github/instructions/critical-rules.instructions.md, .github/instructions/development-workflow.instructions.md, .github/instructions/documentation-structure.instructions.md, .github/instructions/excel-com-interop.instructions.md, .github/instructions/excel-connection-types-guide.instructions.md, .github/instructions/llm-testing-philosophy.instructions.md, .github/instructions/mcp-llm-guidance.instructions.md, .github/instructions/mcp-server-guide.instructions.md, .github/instructions/meta.instructions.md, .github/instructions/readme-management.instructions.md, .github/instructions/testing-strategy.instructions.md"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 53,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": true,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "llm-tests/pyrightconfig.json",
                "vscode-extension/tsconfig.json"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "llm-tests/pyrightconfig.json, vscode-extension/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "llm-tests/pyrightconfig.json, vscode-extension/tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 99,
            "inputs": {
              "primary_language": "C#",
              "largest_source_bytes": 91695,
              "source_files_sampled": 459,
              "oversized_source_files": 5
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "C# (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "C#"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "5/459 source files over 60KB",
                "points": 54.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 459,
                      "oversized": 5
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Could not fetch pypi package 'excelmcp-llm-tests' from its registry",
    "npm package 'excel-mcp' points at a different repository (git+https://github.com/choco9527/excel-mcp.git); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-17T15:26:29.938669Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/sbroenne/mcp-server-excel.svg",
  "full_name": "sbroenne/mcp-server-excel",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.11.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsnpm.