google-jules-mcp
An open-source MCP server project that acts as a secure bridge between AI clients such as Claude Desktop and Cursor and the Google Jules Agentic API. Written in TypeScript, it supports code generation, plan approval, and session management.
Timeline (last 90 days)
The google-jules-mcp project is maintained by developer Godzilla675 and is written in JavaScript.
The google-jules-mcp project is small in scale and its community is not yet active; users should evaluate its stability and documentation completeness themselves, and it is advisable to conduct thorough testing before integrating it into a production environment.
The google-jules-mcp project is currently in an early stage, with 2 Stars and 0 Forks.
google-jules-mcp enables MCP-compatible AI clients such as Claude Desktop and Cursor to directly invoke Jules's agent capabilities.
google-jules-mcp is an MCP server project that acts as a secure bridge connecting AI clients to the Google Jules API.
The article advises teams hoping to use Jules capabilities in production environments to treat google-jules-mcp as a reference implementation or starting point, rather than a mature solution.
google-jules-mcp primarily provides support for three categories of Jules agent capabilities: code generation, plan approval, and session management.
google-jules-mcp is written in TypeScript.
All Facts (6)
google-jules-mcp is an MCP server project that acts as a secure bridge connecting AI clients to the Google Jules API.
60%UnverifiedThe google-jules-mcp project is maintained by developer Godzilla675 and is written in JavaScript.
50%Unverifiedgoogle-jules-mcp is written in TypeScript.
50%Unverifiedgoogle-jules-mcp enables MCP-compatible AI clients such as Claude Desktop and Cursor to directly invoke Jules's agent capabilities.
50%Unverifiedgoogle-jules-mcp primarily provides support for three categories of Jules agent capabilities: code generation, plan approval, and session management.
50%UnverifiedThe article advises teams hoping to use Jules capabilities in production environments to treat google-jules-mcp as a reference implementation or starting point, rather than a mature solution.
50%