Registry › Compare › FastMCP vs MCP Python SDK

FastMCP vs MCP Python SDK

MCP Python SDK leads on trust: 93.7/100 (Grade A) against 80.0/100 (Grade A), a 13.7-point gap. FastMCP leads on maintenance; MCP Python SDK leads on supply-chain integrity and provenance.

A FastMCP 80.0

🚀 The fast, Pythonic way to build MCP servers and clients.

PrefectHQ/fastmcp · #159 overall · #8 Protocols & Tool Integration · coverage B (3/5)

Choose FastMCP if maintenance matters most.

+2.1Maintenance: last push today, against 3d ago

A MCP Python SDK 93.7

The official Python SDK for Model Context Protocol servers and clients

modelcontextprotocol/python-sdk · #6 overall · #2 Protocols & Tool Integration · coverage B (3/5)

Choose MCP Python SDK if supply-chain integrity and provenance matter most.

+10.0Safety / Integrity: OSSF Scorecard 7.1 against 5.1
+7.2Identity / Provenance: package provenance attested, against none
+1.7Transparency: OSSF Scorecard 7.1 against 5.1

Where they differ

11.4

Safety / IntegrityMCP Python SDK +10.0

21.4

10.8

Identity / ProvenanceMCP Python SDK +7.2

18.0

12.8

TransparencyMCP Python SDK +1.7

14.5

20.0

MaintenanceFastMCP +2.1

17.9

+5.0

Runtime calibrationFastMCP +3.1

+1.9

1 dimension identical: Adoption 20.0 · Full evidence table

An independent, evidence-based trust comparison of FastMCP 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	FastMCPPrefectHQ/fastmcp	MCP Python SDKmodelcontextprotocol/python-sdk
HVTrust score	80.0	93.7
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#159	#6
Rank in Protocols & Tool Integration	#8	#2
GitHub stars	28.0k	24.5k
Last updated	today	3d ago
Build provenance	No	Yes
OSSF Scorecard	5.1 / 10	7.1 / 10
License	Apache-2.0	MIT
Downloads	14.4M/wk	60.6M/wk
Trust dimensions (points earned)
Safety / integrity / 25	11.4	21.4
Identity & provenance / 18	10.8	18.0
Transparency / 17	12.8	14.5
Maintenance / 20	20.0	17.9
Adoption / 20	20.0	20.0
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	3 — Anthropic, Google Gemini, OpenAI	—
Requires API keys	No	No
Plugin surface	—	extensions
Provenance drift	Match	Match

Open in the live compare tool → FastMCP profile MCP Python SDK profile More Protocols & Tool Integration →

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 →