Registry › Compare › Composio vs MCP Python SDK

Composio vs MCP Python SDK

MCP Python SDK leads on trust: 95.0/100 (Grade A) against 89.5/100 (Grade A), a 5.5-point gap. Composio leads on maintenance and rests on broader evidence; MCP Python SDK leads on supply-chain integrity and adoption. Note: MCP Python SDK's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A Composio 89.5

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

composiohq/composio · #32 overall · #5 Protocols & Tool Integration · coverage A (4/5)

Choose Composio if maintenance matters most.

+1.4Maintenance: last push today, against 1d ago
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

A MCP Python SDK 95.0

The official Python SDK for Model Context Protocol servers and clients

modelcontextprotocol/python-sdk · #2 overall · #1 Protocols & Tool Integration · coverage B (3/5)

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

+3.0Adoption: 70.9M weekly downloads against 50.4k
+1.9Safety / Integrity: 100% of recent commits signed, against 75%

Where they differ

20.2

Safety / IntegrityMCP Python SDK +1.9

22.1

14.6

TransparencyMCP Python SDK +0.4

15.0

20.0

MaintenanceComposio +1.4

18.6

17.0

AdoptionMCP Python SDK +3.0

20.0

-0.3

Runtime calibrationMCP Python SDK +1.6

+1.3

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Composio 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	Composiocomposiohq/composio	MCP Python SDKmodelcontextprotocol/python-sdk
HVTrust score	89.5	95.0
Evidence grade	A	A
Coverage grade	A	B
Overall rank	#32	#2
Rank in Protocols & Tool Integration	#5	#1
GitHub stars	30.8k	24.7k
Last updated	today	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	7.2 / 10	7.7 / 10
License	MIT	MIT
Downloads	50k/wk	70.9M/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.2	22.1
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.6	15.0
Maintenance / 20	20.0	18.6
Adoption / 20	17.0	20.0
Runtime capability surface (full matrix)
MCP server	Declared	Implemented
External providers	1 — OpenAI	—
Requires API keys	Yes	No
Plugin surface	plugins	extensions
Provenance drift	Partial	Match

Open in the live compare tool → Composio 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 →