mcp-use

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

Protocols & Tool Integration TypeScript Grade C Listed MIT
Listing state
Listed
HVTrust
63.5/100 · Grade C
Last push
2026-06-19 · 3d ago
Recent change
Scorecard +3

Quick Trust Read

Verdict
Promising trust profile, but some evidence still deserves review.
63.5/100 · Grade C
Strongest Signal
Maintenance
18.0/20
Weakest Signal
Safety / Integrity
11.5/25
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-06-21
Scorecard Added
OSSF Scorecard: 6.0/10
2026-06-21
Rank Moved
Rank rose 114 spots (#241 → #127)
2026-06-21
HVTrust Changed
HVTrust up 38.1pts (25.5 → 63.6)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 6.0/10. Tighten the weakest checks to improve public safety evidence.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
82.8
Activity Score · out of 100
63.5
HVTrust Score · out of 100
#127
Global Rank · of 300
#9

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C 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 3 days ago

Rank Trend

2026-06-20 2026-06-21

Activity & Reach

Stars
10.1k
Forks
1.3k
Last Push
2026-06-19
3 days ago
Commits (4 wk)
35
Downloads (7d)
HN mentions (30d)
Open Issues
91
Rank Change
=
was #127

Analysis

HVTrust Dimensions

63.5 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
11.5 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
13.6 / 17
MaintenanceFreshness and commits
18.0 / 20
AdoptionStars and downloads
9.6 / 20

Activity Inputs

82.8 / 100
StarsRepository reach
24.0 / 30
FreshnessLast push recency
24.6 / 25
ActivityRecent commits
19.4 / 25
CommunityFork signal
14.5 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
6.0 / 10
OpenSSF Scorecard · scanned Jun 21, 2026
Signed Commits
79%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 5
CI-Tests 10
CII-Best-Practices 0
Code-Review 1
Contributors 10
Dangerous-Workflow 10
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 0
SAST 8
Security-Policy 10
Signed-Releases -1
Token-Permissions 0
Vulnerabilities 0

Is mcp-use safe?

mcp-use 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-use publish package provenance?
No published build provenance is currently detected for mcp-use. 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-use have an OpenSSF Scorecard?
mcp-use has an OpenSSF Scorecard score of 6.0/10. 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-use actively maintained?
Actively maintained. The repository was pushed to within the last 3 day(s).
What license does mcp-use use?
mcp-use ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are mcp-use's commits signed?
79% of the last 100 commits to mcp-use 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-use appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
6 detected
Public provider/service dependencies detected.
  • Anthropic
  • E2B
  • OpenAI
  • Postgres
  • Redis
  • Supabase
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface detected.
  • code
  • database
  • filesystem
  • search
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-use?

HVTrust scores mcp-use 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: 6.0/10
2026-06-21
Rank Moved
Rank rose 114 spots (#241 → #127)
2026-06-21
HVTrust Changed
HVTrust up 38.1pts (25.5 → 63.6)
2026-06-20
Newly Listed
First tracked at rank #241

Embed Badge Badge guide for maintainers →

HVTrust 63.5 Grade C
Markdown:
[![HVTrust](https://hvtracker.net/badge/mcp-use.svg)](https://hvtracker.net/agents/mcp-use)
HTML:
<a href="https://hvtracker.net/agents/mcp-use"><img src="https://hvtracker.net/badge/mcp-use.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