FastMCP (TypeScript) vs MCP Inspector
MCP Inspector leads on trust: 91.9/100 (Grade A) against 86.8/100 (Grade A), a 5.1-point gap. MCP Inspector leads on transparency and maintenance.
A TypeScript framework for building MCP servers.
FastMCP (TypeScript) doesn't lead on any scored dimension in this pair.
Visual testing tool for MCP servers
Choose MCP Inspector if transparency and maintenance matter most.
- +2.4Transparency: OSSF Scorecard 7.3 against 4.5
- +2.1Maintenance: last push today, against 10d ago
- +1.5Safety / Integrity: OSSF Scorecard 7.3 against 4.5
- +1.0Adoption: 11.1k GitHub stars against 3.3k
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of FastMCP (TypeScript) and MCP Inspector, 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 Inspectormodelcontextprotocol/inspector |
|---|---|---|
| HVTrust score | 86.8 | 91.9 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #69 | #11 |
| Rank in Protocols & Tool Integration | #5 | #3 |
| GitHub stars | 3.3k | 11.1k |
| Last updated | 10d ago | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 4.5 / 10 | 7.3 / 10 |
| License | MIT | NOASSERTION |
| Downloads | 707k/wk | 403k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 17.1 | 18.6 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 12.3 | 14.7 |
| Maintenance / 20 | 17.9 | 20.0 |
| Adoption / 20 | 16.2 | 17.2 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | — | — |
| Requires API keys | No | No |
| Plugin surface | — | — |
| 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 →