Standardized discovery and calls
UTCP provides standardized mechanisms for discovering tools and defining tool-call formats across providers and underlying protocols.
Universal Tool Calling Protocol (UTCP) is an open standard and open-source developer project that lets AI agents discover and call existing tools through native endpoints such as HTTP, WebSocket, CLI, and MCP. It is intended for developers building agent integrations, protocol adapters, and multi-step tool workflows.
Universal Tool Calling Protocol (UTCP) is an open standard and developer project for letting AI agents and other clients discover and call existing tools across different communication protocols. Rather than requiring each tool to be wrapped in a new server, UTCP is designed for an agent to speak directly to a tool’s native endpoint, such as an HTTP, gRPC, WebSocket, or CLI endpoint, after discovery.
The project includes the protocol specification, SDKs for Python, TypeScript, and Go, additional language repositories, a UTCP–MCP Bridge, and Code Mode for multi-step workflows. Its specification covers discovery, call formats, plugin extensibility, authentication, error handling, response validation, and asynchronous client use. UTCP is intended for developers building AI agents or integrations around existing APIs and tools while retaining their established access mechanisms.
UTCP provides standardized mechanisms for discovering tools and defining tool-call formats across providers and underlying protocols.
The specification uses pluggable components and lists support for HTTP, CLI, WebSocket, Text, and MCP protocol plugins.
The specification documents API key, OAuth, and custom authentication options, along with response processing, validation, and protocol-specific error types.
Clients can use an asynchronous interface, while the v1.0 specification describes performance-oriented client and protocol implementations.
Code Mode lets agents execute multi-step workflows in a TypeScript sandbox, reducing a workflow to one execution instead of many separate tool calls.
The UTCP–MCP Bridge connects MCP users to native endpoints through an MCP server, and the project lists adapters for frameworks including LangChain, Pydantic AI, and Strands.
An agent can discover and call an organization’s existing HTTP, gRPC, WebSocket, or CLI tools without requiring each endpoint to be exposed through a newly built wrapper service.
Developers can use the MCP bridge to make native endpoints available to MCP-based agents through a single MCP server.
Agent builders can use Code Mode to express a multi-step workflow as one TypeScript execution rather than coordinating many individual tool calls.
Teams building agent frameworks can use the listed LangChain, Pydantic AI, Strands, or other UTCP projects as starting points for framework-specific integration.
SDK users can select Python, TypeScript, Go, Ruby, or Lua project components when building tooling in one of the languages represented by the organization’s repositories.
UTCP is an open standard for allowing AI systems and other clients to discover and call tools across different communication protocols, including HTTP, WebSocket, CLI, Text, and MCP through plugins.
The specification repository documents installation of the core package with pip install utcp and optional protocol plugins such as utcp-http, utcp-cli, utcp-websocket, utcp-text, and utcp-mcp. Exact setup depends on the tools and protocols being used.
UTCP is designed to call existing native endpoints directly after discovery rather than proxying calls through a new server. The project also provides an MCP bridge for connecting MCP users to native endpoints through one MCP server.
The project lists Python, TypeScript, Go, Ruby, and Lua implementations or repositories, and the specification describes plugin support for HTTP, CLI, WebSocket, Text, and MCP protocols.
The project is released under the MPL-2.0 license according to its home repository. The Ruby implementation is separately listed with an MIT license, so repository-level licensing should be checked when using a specific component.
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