Google Jules MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Jules MCP ServerList the repositories Jules can access."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Jules MCP Server
This repository provides a fully functional Model Context Protocol (MCP) server for interacting with the Google Jules AI Agent. Google Jules is a cloud-based autonomous agent capable of resolving GitHub issues and PRs by analyzing the codebase, searching the web, and producing PRs automatically.
This MCP wrapper exposes Jules's capabilities as tools to other local AI agents (such as Antigravity), allowing them to natively delegate complex tasks to the cloud agent.
Features
MCP Tool:
list_jules_sources: Retrieve a list of authorized repositories that Jules can interact with.MCP Tool:
delegate_task_to_jules: Delegate an architectural or coding task to Jules directly. The local agent will receive a session URL to track Jules's progress.
Related MCP server: Jules API MCP
Prerequisites
Python 3.10+
A valid Google Jules API key (
JULES_API_KEY) configured in your environment or MCP config.
Installation
python -m venv .venv
source .venv/bin/activate
pip install -e .Running the Server
export JULES_API_KEY="your-api-key"
google-jules-mcpArchitecture
src/server.py: The MCP standard server implementation (stdio).src/client.py: The async REST client for the Google Julesv1alphaAPI.
This server cannot be installed
Maintenance
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