python-utcp MCP Server
universal-tool-calling-protocol/python-utcp
[](https://agentrank-ai.com/tool/universal-tool-calling-protocol--python-utcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
universal-tool-calling-protocol/python-utcp is a Python tool licensed under MPL-2.0. Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware. Topics: ai, ai-agent, ai-agent-tools, developer-tools, llm, mcp, model-context-protocol, python, utcp.
Ranked #3223 out of 24846 indexed tools.
Ecosystem
Score Breakdown
653 stars → growing community
Last commit 1mo ago → moderate activity
19/29 issues closed → decent issue management
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Universal Tool Calling Protocol (UTCP) ## Introduction The Universal Tool Calling Protocol (UTCP) is a secure, scalable standard for defining and interacting with tools across a wide variety of communication protocols. UTCP 1.0.0 introduces a modular core with a plugin-based architecture, making it more extensible, testable, and easier to package. In contrast to other protocols, UTCP places a strong emphasis on: * **Scalability**: UTCP is designed to handle a large number of tools and providers without compromising performance. * **Extensibility**: A pluggable architecture allows developers to easily add new communication protocols, tool storage mechanisms, and search strategies without modifying the core library. * **Interoperability**: With a growing ecosystem of protocol plugins (including HTTP, SSE, CLI, and more), UTCP can integrate with almost any existing service or infrastructure. * **Ease of Use**: The protocol is built on simple, well-defined Pydantic models, maRead full README on GitHub →
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