Jules MCP Server
MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.
README
Jules MCP Server
MCP (Model Context Protocol) server for Google Jules, the asynchronous AI coding agent. This server enables LLMs to create Jules sessions with automatic pull request creation.
Features
- Auto-PR Creation: Sessions automatically create pull requests when complete
- Issue Integration: Create sessions directly from GitHub issues
- Session Management: List and monitor your Jules sessions
Installation
npm install -g @anthropic/jules-mcp
Or run directly with npx:
npx @anthropic/jules-mcp
Configuration
Environment Variables
| Variable | Required | Description |
|---|---|---|
JULES_API_KEY |
Yes | Jules API key from Google AI Studio |
GITHUB_TOKEN |
No | GitHub token for fetching issue details (optional but recommended) |
Claude Code
Add to ~/.config/ccs/mcp.toml:
[servers.jules]
command = "npx @anthropic/jules-mcp"
[servers.jules.env]
JULES_API_KEY = "env://JULES_API_KEY"
GITHUB_TOKEN = "env://GITHUB_TOKEN"
Claude Desktop
Add to your Claude Desktop config:
{
"mcpServers": {
"jules": {
"command": "npx",
"args": ["@anthropic/jules-mcp"],
"env": {
"JULES_API_KEY": "your-api-key"
}
}
}
}
Tools
create_session
Create a new Jules coding session.
Parameters:
repo(required): GitHub repository inowner/repoformatprompt(required): Task description for Julesauto_pr(optional, default: true): Automatically create a PR when donestarting_branch(optional): Branch to start fromtitle(optional): Session title
Example:
{
"repo": "myorg/myrepo",
"prompt": "Add input validation to the login form",
"auto_pr": true
}
create_session_from_issue
Create a session directly from a GitHub issue.
Parameters:
repo(required): GitHub repository inowner/repoformatissue_number(required): GitHub issue numberadditional_context(optional): Extra instructions
Example:
{
"repo": "myorg/myrepo",
"issue_number": 42
}
list_sessions
List your Jules sessions.
Parameters:
limit(optional, default: 10): Maximum sessions to return
get_session
Get details of a specific session.
Parameters:
session_id(required): The session ID
Development
# Install dependencies
npm install
# Build
npm run build
# Run locally
JULES_API_KEY=your-key node dist/index.js
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.