by universal-tool-calling-protocol · MCP Server · ★ 644
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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
| Stars | 644 |
| Forks | 44 |
| Language | Python |
| Category | MCP Server |
| License | MPL-2.0 |
| Quality Score | 53.282/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-18 |
| Created | 2025-06-24 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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python-utcp is Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.. It is categorized as a MCP Server with 644 GitHub stars.
python-utcp is primarily written in Python. It covers topics such as ai, ai-agent, ai-agent-tools.
You can find installation instructions and usage details in the python-utcp GitHub repository at github.com/universal-tool-calling-protocol/python-utcp. The project has 644 stars and 44 forks, indicating an active community.
python-utcp is released under the MPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to python-utcp on Agent Skills Hub include code-graph-rag, golf, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.