FastMCP (TypeScript) vs MCP Python SDK
MCP Python SDK leads on trust: 95.0/100 (Grade A) against 87.6/100 (Grade A), a 7.4-point gap. FastMCP (TypeScript) leads on maintenance; MCP Python SDK leads on supply-chain integrity and adoption.
A TypeScript framework for building MCP servers.
Choose FastMCP (TypeScript) if maintenance matters most.
- +0.9Maintenance
The official Python SDK for Model Context Protocol servers and clients
Choose MCP Python SDK if supply-chain integrity and adoption matter most.
- +5.3Safety / Integrity: 100% of recent commits signed, against 76%
- +3.8Adoption: 64.5M weekly downloads against 707.1k
- +2.8Transparency: OSSF Scorecard 7.8 against 4.5
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of FastMCP (TypeScript) and MCP Python SDK, two Protocols & Tool Integration projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | FastMCP (TypeScript)punkpeye/fastmcp | MCP Python SDKmodelcontextprotocol/python-sdk |
|---|---|---|
| HVTrust score | 87.6 | 95.0 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #58 | #2 |
| Rank in Protocols & Tool Integration | #5 | #1 |
| GitHub stars | 3.3k | 24.6k |
| Last updated | 1d ago | 1d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 4.5 / 10 | 7.8 / 10 |
| License | MIT | MIT |
| Downloads | 707k/wk | 64.5M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 16.9 | 22.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 12.3 | 15.1 |
| Maintenance / 20 | 19.3 | 18.4 |
| Adoption / 20 | 16.2 | 20.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | — | — |
| Requires API keys | No | No |
| Plugin surface | — | extensions |
| Provenance drift | Match | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →