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mcp2py MCP Server

MaximeRivest/mcp2py

Score: 49.0 Rank #20966 MCP Server
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Turn any MCP server into a Python module

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Overview

MaximeRivest/mcp2py is a Python MCP server licensed under MIT. Turn any MCP server into a Python module

Ranked #20966 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 254

254 stars → growing community

Freshness 25% 11mo ago

Last commit 11mo ago → stale

Issue Health 25% 50%

1/2 issues closed → decent issue management

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 24
Description Brief
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 359 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for MaximeRivest/mcp2py
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Matched Queries

"mcp server""mcp-server"

From the README

# mcp2py: Turn any MCP server into a python module

MCP (Model Context Protocol) is an emerging standard for AI tools and
resources. The standard is compatible with normal REST API servers, but
adds extra metadata to describe tools, resources, and prompts in a
machine-readable way. This provides us with a great opportunity to
create Python modules that completely and automatically map to these MCP
servers. The biggest advantage of this approach is that we can use any
MCP server as if it were a native Python library, with zero
configuration. This can be quite a big deal as creating Python software
development kits that map to REST APIs is extremely common and was quite
a manual process. Now, if the organization hosting the REST API also
provides an MCP interface, we can automatically generate a Python SDK
for it with zero effort! Don’t worry if this is not all clear to you.
You can still leverage the power of mcp2py without knowing all the
details of MCP. All you need to know is: if you
Read full README on GitHub →

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