MCP Inspector vs MCP Python SDK
Both are Grade A and 2.3 points apart, so choose on what you weigh most. MCP Inspector leads on maintenance; MCP Python SDK leads on supply-chain integrity and adoption.
Visual testing tool for MCP servers
Choose MCP Inspector if maintenance matters most.
- +2.1Maintenance: last push today, against 3d ago
The official Python SDK for Model Context Protocol servers and clients
Choose MCP Python SDK if supply-chain integrity and adoption matter most.
- +3.5Safety / Integrity: 100% of recent commits signed, against 31%
- +2.7Adoption: 60.6M weekly downloads against 496.5k
Where they differ
2 dimensions identical: Identity 18.0 · Transparency 14.5 · Full evidence table
An independent, evidence-based trust comparison of MCP Inspector 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 | MCP Inspectormodelcontextprotocol/inspector | MCP Python SDKmodelcontextprotocol/python-sdk |
|---|---|---|
| HVTrust score | 91.4 | 93.7 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #15 | #6 |
| Rank in Protocols & Tool Integration | #3 | #2 |
| GitHub stars | 11.0k | 24.5k |
| Last updated | today | 3d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 7.1 / 10 | 7.1 / 10 |
| License | NOASSERTION | MIT |
| Downloads | 496k/wk | 60.6M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 17.9 | 21.4 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.5 | 14.5 |
| Maintenance / 20 | 20.0 | 17.9 |
| Adoption / 20 | 17.3 | 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 →