MCP Python SDK

The official Python SDK for Model Context Protocol servers and clients

Protocols & Tool Integration Python Grade B Listed MIT
Listing state
Listed
HVTrust
70.1/100 · Grade B
Last push
2026-06-20 · 2d ago
Recent change
Scorecard +3

Quick Trust Read

Verdict
Promising trust profile, but some evidence still deserves review.
70.1/100 · Grade B
Strongest Signal
Maintenance
18.9/20
Weakest Signal
Adoption
10.5/20
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-06-21
Scorecard Added
OSSF Scorecard: 7.8/10
2026-06-21
Rank Moved
Rank rose 150 spots (#230 → #80)
2026-06-21
HVTrust Changed
HVTrust up 43.2pts (26.9 → 70.1)
Maintainer Checklist
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
89.6
Activity Score · out of 100
70.1
HVTrust Score · out of 100
#80
Global Rank · of 300
#4

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Full methodology →

Signals refreshed 2026-06-22 00:01 UTC · Repo last pushed 2 days ago

Rank Trend

2026-06-20 2026-06-21

Activity & Reach

Stars
23.4k
Forks
3.6k
Last Push
2026-06-20
2 days ago
Commits (4 wk)
56
Downloads (7d)
HN mentions (30d)
Open Issues
563
Rank Change
=
was #80

Analysis

HVTrust Dimensions

70.1 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
14.8 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
15.1 / 17
MaintenanceFreshness and commits
18.9 / 20
AdoptionStars and downloads
10.5 / 20

Activity Inputs

89.6 / 100
StarsRepository reach
26.2 / 30
FreshnessLast push recency
24.7 / 25
ActivityRecent commits
21.9 / 25
CommunityFork signal
16.5 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
7.8 / 10
OpenSSF Scorecard · scanned Jun 21, 2026
Signed Commits
100%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 2
CI-Tests 10
CII-Best-Practices 0
Code-Review 10
Contributors 10
Dangerous-Workflow 10
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 10
SAST 10
Security-Policy 10
Signed-Releases -1
Token-Permissions 9
Vulnerabilities 0

Is MCP Python SDK safe?

MCP Python SDK has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does MCP Python SDK publish package provenance?
No published build provenance is currently detected for MCP Python SDK. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does MCP Python SDK have an OpenSSF Scorecard?
MCP Python SDK has an OpenSSF Scorecard score of 7.8/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is MCP Python SDK actively maintained?
Actively maintained. The repository was pushed to within the last 2 day(s).
What license does MCP Python SDK use?
MCP Python SDK ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are MCP Python SDK's commits signed?
100% of the last 100 commits to MCP Python SDK are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

Profile context only

HVTrust currently ranks supply-chain and project-integrity trust only. This public view shows a compact AI-agent surface snapshot from repo docs and manifests. These fields are descriptive context and do not affect the production HVTrust rank. An experimental local preview remains available in Score Lab →, and the policy boundary is tracked on the roadmap →

MCP Server Support
high confidence
Implemented
MCP Python SDK appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
2 detected
Public provider/service dependencies detected.
  • Anthropic
  • Postgres
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface detected.
  • code
  • database
  • search
  • shell
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain MCP Python SDK?

HVTrust scores MCP Python SDK from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

Listed 1HVTrust 1Rank 1Scorecard 1
2026-06-21
Scorecard Added
OSSF Scorecard: 7.8/10
2026-06-21
Rank Moved
Rank rose 150 spots (#230 → #80)
2026-06-21
HVTrust Changed
HVTrust up 43.2pts (26.9 → 70.1)
2026-06-20
Newly Listed
First tracked at rank #230

Embed Badge Badge guide for maintainers →

HVTrust 70.1 Grade B
Markdown:
[![HVTrust](https://hvtracker.net/badge/mcp-python-sdk.svg)](https://hvtracker.net/agents/mcp-python-sdk)
HTML:
<a href="https://hvtracker.net/agents/mcp-python-sdk"><img src="https://hvtracker.net/badge/mcp-python-sdk.svg" alt="HVTrust"></a>

Other agents in Protocols & Tool Integration

Data sources
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v3.2 · Raw JSON