MCP Quality Index

Daily-updated quality scores for 12,653+ MCP server repositories. Machine-readable JSON. No auth required.

What is this?

Every MCP registry today is a flat catalog — name, description, maybe a link. None of them tell you whether a server is maintained, adopted, or safe to depend on.

This dataset scores every MCP-domain repository on GitHub across four dimensions:

| Component | Range | What it measures | |-----------|-------|-----------------| | Maintenance | 0-25 | Commit activity, push recency, archived status | | Adoption | 0-25 | Stars, package downloads, reverse dependents | | Maturity | 0-25 | License, published package (PyPI/npm), repo age | | Community | 0-25 | Forks, fork-to-star ratio |

The composite quality score (0-100) classifies each server into a tier:

| Tier | Score | Count | Description | |------|-------|-------|-------------| | Verified | 70+ | 53 | Strong across all dimensions | | Established | 50-69 | 680 | Solid but gaps in one area | | Emerging | 30-49 | 3,078 | Early-stage, some traction | | Experimental | <30 | 8,842 | Minimal signals |

Risk flags are computed per repo: archived, no_license, stale_6m, no_package, no_dependents.

See METHODOLOGY.md for the full scoring model, and schema/ for field-level documentation.

Datasets

All files are in data/:

| File | Records | Description | |------|---------|-------------| | mcp-scores.json | 12,653 | Quality scores with component breakdown and risk flags | | mcp-repos.json | 12,512 | All active MCP repos with GitHub + package metrics | | projects.json | 441 | Tracked AI projects with traction scores, lifecycle stages, velocity | | metadata.json | — | Export timestamp, record counts, schema version |

Usage

Fetch the raw JSON directly:

curl -s https://raw.githubusercontent.com/grahamrowe82/mcp-quality-index/main/data/mcp-scores.json | jq '.[0]'

{
  "full_name": "n8n-io/n8n",
  "quality_score": 88,
  "quality_tier": "verified",
  "maintenance_score": 25,
  "adoption_score": 20,
  "maturity_score": 18,
  "community_score": 25,
  "risk_flags": [],
  "stars": 72841,
  "downloads_monthly": 1547893,
  "commits_30d": 289
}

Filter verified servers with jq:

curl -s https://raw.githubusercontent.com/grahamrowe82/mcp-quality-index/main/data/mcp-scores.json \
  | jq '[.[] | select(.quality_tier == "verified")] | length'

Live API

The same data is available via the PT-Edge API (no auth required):

GET https://mcp.phasetransitions.ai/api/v1/datasets/mcp-scores
GET https://mcp.phasetransitions.ai/api/v1/datasets/mcp-scores?quality_tier=verified
GET https://mcp.phasetransitions.ai/api/v1/datasets/mcp-scores?subcategory=gateway
GET https://mcp.phasetransitions.ai/api/v1/datasets/mcp-repos
GET https://mcp.phasetransitions.ai/api/v1/datasets/projects

Update frequency

Data is refreshed daily from PT-Edge, which tracks 166,000+ AI repositories across GitHub, PyPI, npm, Docker Hub, HuggingFace, and Hacker News.

License

Data: CC-BY-4.0. Attribution: PT-Edge (https://github.com/grahamrowe82/pt-edge).