Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 16:53 UTC

langchain-ai / langchain-mcp-adapters

LangChain 🔌 MCP

PythonMIT★ 3,643 stars⑂ 482 forkssince Feb 2025View on GitHub ↗
KindMCP serverLibraryhow this is determined
#langchain#langgraph#mcp#python#tools

langchain-ai/langchain-mcp-adapters holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (90/100) and lowest on Sustainability & Governance (73/100). It was last updated today. 2 contributors account 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

LangChainOrganization
21,961 followers258 public repossince Mar 2023

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlangchain-mcp-adapters0.3.27,948,3873221 days ago

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 0 days ago
18.7/36Commit cadence — 27/52 weeks with commits
18/18Commit volume — 118 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year118
human_commit_share0.36
days_since_last_push0
active_weeks_last_year27

Release discipline

90Excellent
How it's scored
27/27Ships releases — 30 releases published
36/36Release recency — latest release 21 days ago
27/27Release cadence — a release every ~31 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count30
latest_release_taglangchain-mcp-adapters==0.3.2
releases_from_tagsno
days_since_latest_release21
mean_days_between_releases31

Community & Adoption

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

90Excellent · 17% of overall

Popularity & adoption

87Excellent
How it's scored
57.8/60Stars — 3,643 stars
22.4/25Forks — 482 forks
7.1/15Watchers — 20 watchers
Inputs used
forks482
stars3,643
watchers20
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 7,948,387 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslangchain-mcp-adapters
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,948,387
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.7/22.5Commit distribution — top contributor authored 30% of commits
13.5/13.5Contributor breadth — 28 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor2
contributors_sampled28
top_contributor_share0.304

Issue & PR responsiveness

64Moderate
How it's scored
34.2/42Issue resolution — 82% of issues closed
21.3/30PR acceptance — 190/267 decided PRs merged
5.2/13Newcomer PR acceptance — 2/5 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 2/10 approved changesets -- score normalized to 2
Inputs used
merged_prs190
open_issues50
closed_issues221
prs_merged_7d1
prs_decided_7d3
prs_merged_30d3
prs_decided_30d7
issue_closed_ratio0.815
closed_unmerged_prs77
first_time_authors_30d4
first_time_prs_merged_30d2
first_time_prs_decided_30d5

Ownership & stewardship

75Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 21,961 followers of langchain-ai
20/25Track record — 258 public repos, account ~3 yr old
Inputs used
followers21,961
owner_typeOrganization
is_verifiedno
owner_loginlangchain-ai
public_repos258
account_age_days1,274

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 21 days ago
20/20Version history — 32 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslangchain-mcp-adapters
ecosystemspypi
any_deprecatedno
min_days_since_publish21

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 5 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 — 29 out of 29 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

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://docs.langchain.com/oss/python/langchain/mcp
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicslangchain, langgraph, mcp, python, tools
has_wikiyes
homepagehttps://docs.langchain.com/oss/python/langchain/mcp
docs_sitehttps://docs.langchain.com/oss/python/langchain/mcp
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

75Good · 16% of overall

Security posture

69Good
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 — 29 out of 29 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
1.5/7.5Code-Review — Found 2/10 approved changesets -- score normalized to 2
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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
5/5SAST — SAST tool is run on all commits
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.9

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_packages48
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:langchain-mcp-adapters@0.3.2 runtime dependency closure — what installing the published package pulls in — 48 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.

81Excellent · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.langchain.com/llms.txt)
40/40Legible commit history — 35 of 36 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.langchain.com/llms.txt
legible_history_share0.972
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

92Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — langchain_mcp_adapters/py.typed
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 62 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configslangchain_mcp_adapters/py.typed
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.62

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (langchain_mcp_adapters/py.typed)
55/55Manageable file sizes — 0/28 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes46,967
source_files_sampled28
oversized_source_files0

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

3,643GitHub stars
28contributors
118commits, last 12 months
0days since last push
30releases
2bus factor
50open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 482 ⇿
0Stars
482Forks
30Releases

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.

010020030040050048272025-022025-112026-08
Major 0Minor 0Patch 0

Each point covers 2 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-08-27 16:53 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 2/10 approved changesets -- score normalized to 2
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
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIlangchain-core>=1.3.3,<2.0.0pyproject.toml
PyPImcp>=1.24.0,<2.0.0pyproject.toml
PyPItyping-extensions>=4.14.0pyproject.toml
All dependencies 97

Full resolved dependency set from the GitHub dependency graph: 4 direct and 93 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlangchain-core1.4.9direct
PyPImcp1.28.1direct
PyPItyping-extensions4.13.2direct
PyPItyping-extensions4.16.0direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.11.0indirect
PyPIanyio4.14.2indirect
PyPIast-serialize0.6.0indirect
PyPIattrs25.3.0indirect
PyPIattrs25.4.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcertifi2025.4.26indirect
PyPIcertifi2025.8.3indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.3indirect
PyPIclick8.3.0indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.0indirect
PyPIdirty-equals0.11indirect
PyPIexceptiongroup1.2.2indirect
PyPIexceptiongroup1.3.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.0indirect
PyPIhttpx-sse0.4.1indirect
PyPIidna3.15indirect
PyPIiniconfig2.1.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlangchain1.3.13indirect
PyPIlangchain-mcp-adapters0.3.2indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlanggraph1.2.9indirect
PyPIlanggraph-checkpoint4.1.1indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangsmith0.8.18indirect
PyPIlibrt0.13.0indirect
PyPImcp-simple-streamablehttp-stateless0.1.0indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.9.1indirect
PyPIorjson3.11.6indirect
PyPIormsgpack1.12.0indirect
PyPIpackaging25.0indirect
PyPIpathspec1.0.4indirect
PyPIpluggy1.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.11.4indirect
PyPIpydantic2.11.9indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.33.2indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.10.1indirect
PyPIpydantic-settings2.9.1indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyright1.1.400indirect
PyPIpytest9.0.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-socket0.8.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.31indirect
PyPIpywin32311indirect
PyPIpyyaml6.0.2indirect
PyPIreferencing0.36.2indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.33.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrpds-py0.27.1indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.11.8indirect
PyPIruff0.16.0indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette2.3.4indirect
PyPIsse-starlette3.0.2indirect
PyPIstarlette1.3.1indirect
PyPItenacity9.1.2indirect
PyPItomli2.2.1indirect
PyPItypes-setuptools83.0.0.20260724indirect
PyPItyping-inspection0.4.1indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.14.0indirect
PyPIuvicorn0.37.0indirect
PyPIuvicorn0.51.0indirect
PyPIwebsockets15.0.1indirect
PyPIxxhash3.6.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:langchain-mcp-adapters@0.3.2 pulls in 48 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.