Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-05 02:49 UTC

PrefectHQ / fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

PythonApache-2.0★ 27,063 stars⑂ 2,225 forkssince Nov 2024View on GitHub ↗
KindCommand-line toolLibraryMCP serverhow this is determined
#model-context-protocol#fastmcp#mcp#agents#llms#mcp-clients#mcp-servers#mcp-tools#python

PrefectHQ/fastmcp holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (63/100). It was last updated today. A single contributor accounts for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

PrefectOrganization
939 followers42 public repossince May 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfastmcp3.4.588,396,4351108 days agoagentfastmcpllmmcpmcp-clientmcp-servermodel-context-protocol
PyPIfastmcp-slim3.4.582,389,654148 days agoagentfastmcpllmmcpmcp-clientmcp-servermodel-context-protocol
PyPIfastmcp-tasks4.0.0b12,69027 days agobackground-tasksfastmcpfastmcp-tasksmcpmodel-context-protocol
PyPIfastmcp-remote3.4.54,714108 days agofastmcpfastmcp-remotemcpmcp-remotemodel-context-protocoloauthstdio

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 1,970 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,970
human_commit_share0.95
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~7.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv4.0.0b1
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases7.4
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

96Exceptional · 17% of overall

Popularity & adoption

96Exceptional
How it's scored
60/60Stars — 27,063 stars
25/25Forks — 2,225 forks
11.5/15Watchers — 119 watchers
Inputs used
forks2,225
stars27,063
watchers119
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 170,793,493 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfastmcp, fastmcp-slim, fastmcp-tasks, fastmcp-remote
dependents—
ecosystemspypi
total_downloads—
monthly_downloads170,793,493
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?

72Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
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 — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled96
top_contributor_share0.762

Issue & PR responsiveness

70Good
How it's scored
36.3/42Issue resolution — 86% of issues closed
25/30PR acceptance — 2,230/2,672 decided PRs merged
4.6/13Newcomer PR acceptance — 5/14 first-time contributors' PRs merged in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 10/30 approved changesets -- score normalized to 3
Inputs used
merged_prs2,230
open_issues241
closed_issues1,546
prs_merged_7d19
prs_decided_7d27
prs_merged_30d44
prs_decided_30d59
issue_closed_ratio0.865
closed_unmerged_prs442
first_time_authors_30d10
first_time_prs_merged_30d5
first_time_prs_decided_30d14

Ownership & stewardship

94Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
21.4/25Owner reach — 939 followers of PrefectHQ
23.9/25Track record — 42 public repos, account ~8 yr old
Inputs used
followers939
owner_typeOrganization
is_verified—
owner_loginPrefectHQ
public_repos42
account_age_days3,004
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 4 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 110 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfastmcp, fastmcp-slim, fastmcp-tasks, fastmcp-remote
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 20 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.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_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://gofastmcp.com
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsmodel-context-protocol, fastmcp, mcp, agents, llms, mcp-clients, mcp-servers, mcp-tools, python
has_wikino
homepagehttps://gofastmcp.com
docs_sitehttps://gofastmcp.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall

Security posture

54Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-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
2.2/7.5Code-Review — Found 10/30 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 16 contributing companies or organizations
0/10Dangerous-Workflow — 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 11 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

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_packages67
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:fastmcp@3.4.5 runtime dependency closure — what installing the published package pulls in — 67 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.

86Excellent · 4% of overall

Agent context & guidance

83Excellent
How it's scored
45/45Agent instructions — .cursor/rules/core-mcp-objects.mdc, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
37.6/40Legible commit history — 67 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.705
agent_instruction_files.cursor/rules/core-mcp-objects.mdc, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes20,920

Verify loop (build / test / typecheck)

84Excellent
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — examples/atproto_mcp/src/atproto_mcp/py.typed, examples/smart_home/src/smart_home/py.typed, fastmcp_remote/fastmcp_remote/py.typed, fastmcp_slim/fastmcp/py.typed, fastmcp_tasks/fastmcp_tasks/py.typed
10/10Reproducible environment — Dockerfile, lockfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/atproto_mcp/src/atproto_mcp/py.typed, examples/smart_home/src/smart_home/py.typed, fastmcp_remote/fastmcp_remote/py.typed, fastmcp_slim/fastmcp/py.typed, fastmcp_tasks/fastmcp_tasks/py.typed
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (examples/atproto_mcp/src/atproto_mcp/py.typed, examples/smart_home/src/smart_home/py.typed, fastmcp_remote/fastmcp_remote/py.typed, fastmcp_slim/fastmcp/py.typed, fastmcp_tasks/fastmcp_tasks/py.typed)
54.4/55Manageable file sizes — 9/820 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes131,520
source_files_sampled820
oversized_source_files9

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 — demos, examples
Inputs used
example_dirsdemos, examples
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

27,063GitHub stars
96contributors
1,970commits, last 12 months
0days since last push
100releases
1bus factor
241open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 21 authors (cap 12)

More detail

Star and fork history 0 ★ / 2,225 ⇿
0Stars
2,225Forks
47Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

1,0001,2501,5001,7502,0002,2502,225202025-102026-032026-08
Major 1Minor 6Patch 24
OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-08-05 02:49 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-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
3Code-ReviewFound 10/30 approved changesets -- score normalized to 3
10Contributorsproject has 16 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
8SASTSAST tool is not run on all commits -- score normalized to 8
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPImcp-types>=2.0.0,<3.0.0fastmcp_slim/pyproject.toml
PyPIplatformdirs>=4.0.0fastmcp_slim/pyproject.toml
PyPIpydantic>=2.12.0fastmcp_slim/pyproject.toml
PyPIpydantic-settings>=2.0.0fastmcp_slim/pyproject.toml
PyPIpython-dotenv>=1.1.0fastmcp_slim/pyproject.toml
PyPIrich>=13.9.4fastmcp_slim/pyproject.toml
PyPItyping-extensions>=4.0.0fastmcp_slim/pyproject.toml
All dependencies 221

Full resolved dependency set from the GitHub dependency graph: 18 direct and 203 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIwcwidth0.8.2indirect
PyPIwebsockets—indirect
PyPIwebsockets16.0indirect
PyPIwebsockets16.1.1indirect
PyPIzipp3.23.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:fastmcp@3.4.5 pulls in 67 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.

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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 v0.31.0 — full methodology · metrics wiki.

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