Open Source Tool Calling
Tool calling lets an AI model request actions from external functions, APIs, or services using structured inputs. An application interprets each request, checks it, and returns the result to the model. This connects conversational interfaces to current data and real-world operations, while making actions more predictable than relying on generated text alone. Tool calling systems often address challenges such as defining available actions, validating arguments, managing execution, and handling errors or permissions.
Open source options include libraries for defining and running tools, client integrations, protocol implementations, and gateways for registering or routing tool access. When choosing one, consider supported models and languages, security controls, documentation, license, maintenance, and how easily it fits existing services. These tools are useful to developers building assistants, agent workflows, and applications that need models to interact with external systems.
2 repositories · updated April 18, 2026

UTCP Specification: A Standard for Universal Tool Calling
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.

MCPJungle: Self-Hosted MCP Gateway for AI Agents and Tool Management
MCPJungle is an open-source, self-hosted Model Context Protocol (MCP) Gateway designed for managing AI agents and their tool-calling capabilities. It allows developers and organizations to centralize the registration, discovery, and consumption of MCP servers and their tools, enhancing security and control over AI agent interactions.