Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 05:04 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★ 2,675 stars⑂ 367 forkssince Feb 2026View on GitHub ↗
KindLibraryMCP serverCommand-line toolhow this is determined
#claude#claude-code#ai-coding#ast#code-intelligence#context-window#cursor#developer-tools#llm#mcp#mcp-server#model-context-protocol#token-optimization#tree-sitter#cline#codex#copilot#gemini-cli#opencode#windsurf

jgravelle/jcodemunch-mcp holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on AI Readiness (94/100) and lowest on Sustainability & Governance (64/100). It was last updated today. A single contributor accounts for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

J. GravellePersonal account
380 followers59 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-mcp1.108.31785,3266084 days agoagentastclaudecode-intelligencecode-searchllmmcpmodel-context-protocoltoken-efficiencytree-sitter

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

85Excellent
How it's scored
36/36Push recency — last push 0 days ago
20.8/36Commit cadence — 30/52 weeks with commits
18/18Commit volume — 2,010 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,010
human_commit_share0.99
days_since_last_push0
active_weeks_last_year30

Release discipline

96Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~0.6 days
6/10OpenSSF Scorecard: Signed-Releases — 4 out of the last 5 releases have a total of 4 signed artifacts.
Inputs used
releases_count100
latest_release_tagv1.108.317
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases0.6

Community & Adoption

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

82Excellent · 17% of overall

Popularity & adoption

84Excellent
How it's scored
55.6/60Stars — 2,675 stars
21.4/25Forks — 367 forks
7.2/15Watchers — 21 watchers
Inputs used
forks367
stars2,675
watchers21
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

82Excellent
How it's scored
65.7/80Monthly downloads — 85,326 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesjcodemunch-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads85,326
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.8/22.5Commit distribution — top contributor authored 83% of commits
13.5/13.5Contributor breadth — 50 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled50
top_contributor_share0.83

Issue & PR responsiveness

65Good
How it's scored
41.6/42Issue resolution — 99% of issues closed
23/30PR acceptance — 238/311 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/12 approved changesets -- score normalized to 0
Inputs used
merged_prs238
open_issues3
closed_issues312
prs_merged_7d45
prs_decided_7d58
prs_merged_30d45
prs_decided_30d58
issue_closed_ratio0.99
closed_unmerged_prs73
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

67Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18.6/25Owner reach — 380 followers of jgravelle
24.9/25Track record — 59 public repos, account ~13 yr old
Inputs used
followers380
owner_typeUser
is_verified—
owner_loginjgravelle
public_repos59
account_age_days4,972
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 4 days ago
20/20Version history — 608 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesjcodemunch-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 20 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://jcodemunch.com/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsclaude, claude-code, ai-coding, ast, code-intelligence, context-window, cursor, developer-tools, llm, mcp, mcp-server, model-context-protocol, token-optimization, tree-sitter, cline, codex, copilot, gemini-cli, opencode, windsurf
has_wikiyes
homepagehttps://jcodemunch.com/
docs_sitehttps://jcodemunch.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

82Excellent · 16% of overall

Security posture

77Good
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
2.5/2.5CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/12 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 contributing companies or organizations
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 25 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
4.5/7.5Signed-Releases — 4 out of the last 5 releases have a total of 4 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.7

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages36
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:jcodemunch-mcp@1.108.317 runtime dependency closure — what installing the published package pulls in — 36 packages. Reachability is not analyzed.

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.

94Exceptional · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://jcodemunch.com/llms.txt)
40/40Legible commit history — 85 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://jcodemunch.com/llms.txt
legible_history_share0.859
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes140,610

Verify loop (build / test / typecheck)

91Excellent
How it's scored
12.6/18One-command bootstrap — benchmarks/rust_fidelity/oracle/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — vscode-extension/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 70 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsvscode-extension/tsconfig.json
agent_commit_share0.7
toolchain_manifestsbenchmarks/rust_fidelity/oracle/Cargo.toml
dependency_bot_commit_share0

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (vscode-extension/tsconfig.json)
53.9/55Manageable file sizes — 20/1,004 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes540,099
source_files_sampled1,004
oversized_source_files20

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

2,675GitHub stars
50contributors
2,010commits, last 12 months
0days since last push
100releases
1bus factor
3open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch npm package 'jcodemunch-mcp-vscode' from its registry

More detail

Star and fork history 0 ★ / 367 ⇿
0Stars
367Forks
100Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

0125250375363402026-032026-062026-09
Major 0Minor 0Patch 100
OpenSSF Scorecard 7.7 / 10
7.7aggregate

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 · 2026-09-09 05:03 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/12 approved changesets -- score normalized to 0
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
6Signed-Releases4 out of the last 5 releases have a total of 4 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 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 172

Full resolved dependency set from the GitHub dependency graph: 5 direct and 167 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpx0.28.1direct
PyPImcp1.28.1direct
PyPIpathspec1.0.4direct
PyPIpyyaml6.0.3direct
PyPItree-sitter-language-pack0.13.0direct
crates.ioproc-macro2—indirect
crates.ioquote—indirect
crates.ioserde_json—indirect
crates.iosyn—indirect
crates.iowalkdir—indirect
npm@types/node20.19.39indirect
npm@types/vscode1.118.0indirect
npmtypescript5.9.3indirect
npmundici-types6.21.0indirect
PyPIaider-chat0.86.2indirect
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
PyPIclick8.5.0indirect
PyPIcocoindex-code0.2.41indirect
PyPIcode-review-graph2.3.8indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIcryptography50.0.0indirect
PyPIcuda-bindings13.2.0indirect
PyPIcuda-pathfinder1.5.1indirect
PyPIcuda-toolkit13.0.3.0indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
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
PyPIhttplib20.32.0indirect
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-mcp1.108.317indirect
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
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.4indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
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-cu130.8.1indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIonnxruntime1.24.3indirect
PyPIonnxruntime1.27.0indirect
PyPIopenai2.30.0indirect
PyPIpackaging26.0indirect
PyPIpillow12.3.0indirect
PyPIpluggy1.6.0indirect
PyPIproto-plus1.27.1indirect
PyPIprotobuf5.29.6indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyright1.1.403indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-xdist3.8.0indirect
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
PyPIserena-agent1.7.0indirect
PyPIsetuptools83.0.0indirect
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
PyPItiktoken0.13.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.0indirect
PyPItorch2.13.0indirect
PyPItqdm4.67.3indirect
PyPItransformers5.10.1indirect
PyPItree-sitter0.25.2indirect
PyPItree-sitter-c-sharp0.23.1indirect
PyPItree-sitter-embedded-template0.25.0indirect
PyPItree-sitter-yaml0.7.2indirect
PyPItriton3.7.1indirect
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
Dependency advisories 0

Installing pypi:jcodemunch-mcp@1.108.317 pulls in 36 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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