Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-16 14:21 UTC

jgravelle / jcodemunch-mcp

Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.

PythonCustom license★ 2,024 stars⑂ 302 forkssince Feb 2026View on GitHub ↗
KindMCP serverLibraryhow this is determined
#claude#claude-code#token-savings#ai-coding#ai-tools#ast#code-intelligence#code-retrieval#context-window#cursor#developer-tools#github#llm#mcp#mcp-server#model-context-protocol#structured-retrieval#token-efficient#token-optimization#tree-sitter

jgravelle/jcodemunch-mcp holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (87/100) and lowest on Security (55/100). It was last updated today. A single contributor accounts for most of its recent work.

83
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

83
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe 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.

The weighted overall 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

J. GravellePersonal account
364 followers58 public repossince Jan 2013https://j.gravelle.us

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
PyPIjcodemunch-mcp1.108.13188,4284240 days agoagentastclaudecode-intelligencecode-searchllmmcpmodel-context-protocoltoken-efficiencytree-sitter

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

80Excellent
How it's scored
36/36Push recency — last push 0 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 1,128 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,128
human_commit_share—
days_since_last_push0
active_weeks_last_year23

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.5 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count100
latest_release_tagv1.108.131
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.5

Community & Adoption

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

81Excellent · 17% of overall

Popularity & adoption

81Excellent
How it's scored
53.6/60Stars — 2,024 stars
20.7/25Forks — 302 forks
6.7/15Watchers — 17 watchers
Inputs used
forks302
stars2,024
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

79Good
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

82Excellent
How it's scored
66/80Monthly downloads — 88,428 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesjcodemunch-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads88,428
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

65Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.4/22.5Commit distribution — top contributor authored 76% of commits
13.5/13.5Contributor breadth — 43 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled43
top_contributor_share0.758

Issue & PR responsiveness

73Good
How it's scored
42/42Issue resolution — 100% of issues closed
21.5/30PR acceptance — 114/159 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Inputs used
merged_prs114
open_issues0
closed_issues200
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio1
closed_unmerged_prs45
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

67Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18.4/25Owner reach — 364 followers of jgravelle
24.9/25Track record — 58 public repos, account ~13 yr old
Inputs used
followers364
owner_typeUser
is_verified—
owner_loginjgravelle
public_repos58
account_age_days4,917
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 424 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesjcodemunch-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

59Moderate · 19% of overall

Engineering practices

48Weak
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://jcodemunch.com/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsclaude, claude-code, token-savings, ai-coding, ai-tools, ast, code-intelligence, code-retrieval, context-window, cursor, developer-tools, github, llm, mcp, mcp-server, model-context-protocol, structured-retrieval, token-efficient, token-optimization, tree-sitter
has_wikiyes
homepagehttps://jcodemunch.com/
docs_sitehttps://jcodemunch.com/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 12 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

74Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes218,519
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — vscode-extension/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configsvscode-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.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (vscode-extension/tsconfig.json)
53.6/55Manageable file sizes — 14/557 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes426,921
source_files_sampled557
oversized_source_files14

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

2,024GitHub stars
43contributors
1,128commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch npm package 'jcodemunch-mcp-vscode' from its registry

More detail

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-07-16 14:21 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
0CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities12 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPImcp>=1.10.0,<2.0.0pyproject.toml
PyPIhttpx>=0.27.0pyproject.toml
PyPItree-sitter-language-pack>=0.7.0,<1.0.0pyproject.toml
PyPIpathspec>=0.12.0pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
All dependencies 159

Full resolved dependency set from the GitHub dependency graph: 5 direct and 154 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpx0.28.1direct
PyPImcp1.26.0direct
PyPIpathspec1.0.4direct
PyPIpyyaml6.0.3direct
PyPItree-sitter-language-pack0.13.0direct
npm@types/node20.19.39indirect
npm@types/vscode1.118.0indirect
npmtypescript5.9.3indirect
npmundici-types6.21.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.84.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.5indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIcryptography48.0.1indirect
PyPIcuda-bindings13.2.0indirect
PyPIcuda-pathfinder1.5.1indirect
PyPIcuda-toolkit13.0.2indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfaiss-cpu—indirect
PyPIfilelock3.25.2indirect
PyPIflatbuffers25.12.19indirect
PyPIfsspec2026.3.0indirect
PyPIgoogle-ai-generativelanguage0.6.15indirect
PyPIgoogle-api-core2.25.2indirect
PyPIgoogle-api-core2.30.0indirect
PyPIgoogle-api-python-client2.192.0indirect
PyPIgoogle-auth2.48.0indirect
PyPIgoogle-auth-httplib20.3.0indirect
PyPIgoogle-generativeai0.8.6indirect
PyPIgoogleapis-common-protos1.72.0indirect
PyPIgrpcio1.78.0indirect
PyPIgrpcio-status1.71.2indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttplib20.31.2indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub1.9.0indirect
PyPIhypothesis6.151.10indirect
PyPIidna3.15indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjcodemunch-mcp1.108.77indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.13.0indirect
PyPIjoblib1.5.3indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlangchain—indirect
PyPIlangchain-community—indirect
PyPIlangchain-huggingface—indirect
PyPIlangchain-text-splitters—indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImpmath1.3.0indirect
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PyPInetworkx3.6.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.4indirect
PyPInvidia-cublas13.1.0.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.19.0.56indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.0indirect
PyPInvidia-nccl-cu132.28.9indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIonnxruntime1.24.3indirect
PyPIonnxruntime1.27.0indirect
PyPIopenai2.30.0indirect
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PyPIpillow12.2.0indirect
PyPIpluggy1.6.0indirect
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PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
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PyPIpydantic2.12.5indirect
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PyPIpyjwt2.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.31indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.4.4indirect
PyPIrequests2.34.2indirect
PyPIrich14.3.3indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9.1indirect
PyPIruff0.15.18indirect
PyPIsafetensors0.7.0indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsentence-transformers—indirect
PyPIsentence-transformers5.3.0indirect
PyPIsetuptools81.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsounddevice0.5.5indirect
PyPIsse-starlette3.3.2indirect
PyPIstarlette1.3.1indirect
PyPIsympy1.14.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken—indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.0indirect
PyPItorch2.11.0indirect
PyPItqdm4.67.3indirect
PyPItransformers5.5.0indirect
PyPItree-sitter0.25.2indirect
PyPItree-sitter-c-sharp0.23.1indirect
PyPItree-sitter-embedded-template0.25.0indirect
PyPItree-sitter-yaml0.7.2indirect
PyPItriton3.6.0indirect
PyPItyper0.24.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.41.0indirect
PyPIwatchfiles1.1.1indirect
PyPIzipp4.1.0indirect
Raw JSON report machine-readable

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.11.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.