UTCP Specification: A Standard for Universal Tool Calling
This repository profile is provided by osrepos.com, an open source repository discovery platform.

Summary
The `utcp-specification` repository hosts the official documentation for the Universal Tool Calling Protocol (UTCP). This protocol provides a modern, flexible, and scalable standard for AI systems and clients to discover and interact with tools across various communication protocols. It aims to standardize tool discovery, call formats, authentication, and error handling for enhanced interoperability.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
The utcp-specification repository contains the official documentation for the Universal Tool Calling Protocol (UTCP). UTCP is designed as a modern, flexible, and scalable standard for defining and interacting with tools across diverse communication protocols, such as HTTP, WebSocket, and CLI. Its primary goal is to provide a standardized way for AI systems and other clients to seamlessly discover and call tools from different providers, regardless of the underlying communication method.
Version 1.0 of UTCP introduces significant architectural improvements, including a robust plugin architecture for modularity, enhanced Pydantic data models for comprehensive validation, and support for multiple protocols. It also features advanced authentication methods, improved error handling, performance optimizations, and full asynchronous client interface support.
Installation
To get started with UTCP, you can install the core package and its protocol plugins using pip:
# Install the core UTCP package
pip install utcp
# Install protocol plugins as needed
pip install utcp-http utcp-cli utcp-websocket utcp-text utcp-mcp
If you wish to build and preview the documentation site locally, you will need Node.js (v18.0 or higher) and npm or yarn. Follow these steps:
- Clone the repository:
git clone https://github.com/universal-tool-calling-protocol/utcp-specification.git cd utcp-specification - Install dependencies:
npm install - Run the documentation site:
npm startThis will start a local development server at http://localhost:3000.
Examples
While the specification itself defines the how, UTCP's design enables AI systems to interact with tools in a standardized manner. For instance, an AI agent can use the defined tool discovery mechanisms to find available tools and then invoke them using the specified call formats, regardless of whether the tool is exposed via HTTP, WebSocket, or a command-line interface. The protocol plugins (like utcp-http or utcp-websocket) provide the concrete implementations for these interactions.
For detailed guidance on implementing tool providers or tool callers, the documentation includes dedicated sections such as for-tool-providers.md and for-tool-callers.md, which outline the practical steps and examples for integrating with the UTCP ecosystem.
Why Use UTCP?
UTCP addresses a critical need for interoperability in the rapidly evolving AI landscape. By providing a universal standard, it offers several key advantages:
- Standardization: It eliminates the fragmentation in how AI systems interact with tools, promoting a consistent and predictable interface.
- Flexibility: Its multi-protocol support means tools can be accessed and called across various communication channels without requiring custom integrations for each.
- Extensibility: The plugin-based architecture allows for easy expansion and adaptation to new protocols or functionalities.
- Scalability: Designed with modern AI systems in mind, it supports complex interactions and robust error handling.
- Comprehensive: From tool discovery to response validation, UTCP covers the entire lifecycle of tool interaction, simplifying development for both tool providers and callers.
Links
- GitHub Repository: https://github.com/universal-tool-calling-protocol/utcp-specification
- UTCP GitHub Organization: https://github.com/universal-tool-calling-protocol
- UTCP Website: https://utcp.io
- Reference Implementations: https://github.com/universal-tool-calling-protocol/python-utcp
- Community Discussions: https://github.com/universal-tool-calling-protocol/utcp-specification/discussions
Related repositories
Similar repositories that may be relevant next.

Axolotl: Streamlining LLM Fine-tuning with a Powerful Open-Source Framework
July 7, 2026
Axolotl is a comprehensive, free, and open-source framework designed to simplify the post-training and fine-tuning processes for large language models (LLMs). It offers extensive model support, diverse training methods, and robust performance optimizations, making it an invaluable tool for researchers and developers. With easy configuration and cloud-ready deployment, Axolotl empowers users to efficiently customize and enhance LLMs.

Zero: The AI Coding Agent for Your Local Terminal
July 6, 2026
Zero is an innovative AI coding agent designed for your local terminal, offering powerful capabilities to inspect repositories, edit files, run commands, and utilize browser/terminal helpers. It provides durable local sessions while giving users full control over the AI model and permission levels. This tool empowers developers with a customizable and secure AI assistant directly within their development environment.

Griptape: Modular Python Framework for AI Agents and Workflows
July 5, 2026
Griptape is a modular Python framework designed to simplify the development of generative AI applications. It provides a flexible set of abstractions for working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various other AI components. With its structured approach, Griptape enables developers to build sophisticated AI agents and workflows efficiently.

Memoripy: An AI Memory Layer for Context-Aware Applications
July 5, 2026
Memoripy is a Python library designed to provide an AI memory layer for context-aware applications. It offers both short-term and long-term storage, semantic clustering, and optional memory decay. This robust tool helps AI systems manage and retrieve relevant information efficiently, supporting various LLM APIs like OpenAI and Ollama.
Source repository
Open the original repository on GitHub.
12 counted GitHub visits