mcp

Name: mcp
Rating: 2.54 (1 reviews)
Author: FlameZerg

#4011 · by FlameZerg

agent tool-use multi-step

2.54/ 5.00

cautionBeta

Mar 5, 2026 at 7:49 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

2 of 3 sub-signals with data

Known CVEs57%4.7

3 CVE(s) found — 0 unpatched

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chain43%4.8

30 transitive CVEs found (penalty: -0.25)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 5 checks

via Health checks

Response Latency25%5.0

p99: 61ms, p50: 32ms

via Health checks

Error Rate20%1.0

60.00% error rate (3/5)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data—

Weight redistributed to sub-signals with data

Release Cadenceno data—

Weight redistributed to sub-signals with data

Issue Responseno data—

Weight redistributed to sub-signals with data

CI/CD Presenceno data—

Weight redistributed to sub-signals with data

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volume100%5.0

25,905,193 weekly downloads

via npm / PyPI

GitHub Starsno data—

Weight redistributed to sub-signals with data

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

Weight redistributed to sub-signals with data

Documentationno data—

Weight redistributed to sub-signals with data

Security Policyno data—

Weight redistributed to sub-signals with data

Changelogno data—

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

Package Availability (30d)

100.00%

p50: 32ms · p99: 61ms

Avg Latency

37ms

averaged across 30d health checks

Weekly Downloads

25.9M

PyPI weekly

Incidents & Alertslast 90 days

Mar 5Trust score decreased by 0.702.54

Feb 24mcp added to Trust Index2.52

Showing 2 of 2 events

Score History5 snapshots

5.003.752.501.250.00

Feb 24Mar 5

Community & Ecosystemadoption signals

25.9M

Weekly Downloads

PyPI

Supply Chain & Dependenciestrust chain

◈

anyio

pypi · >=4.5

◈

httpx

pypi · >=0.27.1 · 2 CVEs1L1C

◈

httpx-sse

pypi · >=0.4

◈

jsonschema

pypi · >=4.20.0

◈

pydantic

pypi · <3.0.0,>=2.11.0 · 3 CVEs1L2M

◈

pydantic-settings

pypi · >=2.5.2

Showing 6 of 18 dependencies

Data Sources6 indexed

◎

OSV.devCVE database · vulnerability scanning for npm & PyPI packages

◈

GitHub APICommits, issues, releases, repo metadata, transparency checks

⬡

npm RegistryPackage metadata, weekly downloads, maintainers, dependencies

⬡

PyPIPackage metadata, weekly downloads, dependency tree

△

HTTP Health Checks15-min pings · uptime, latency, status monitoring

◎

PyPI StatsDownload statistics and trends

Are you the publisher?

Claim this profile to unlock deeper evaluation, real-time monitoring,
and trust signals that help agents discover your service.

Share this Trust Score

Generate a scorecard image optimised for X, LinkedIn and other social platforms.

⬇ Download Score Card