Jules MCP Server
OfficialAllows interaction with Google Jules Agent, enabling management of sources, creation and monitoring of sessions, and inspection of activities through the Jules API.
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., "@Jules MCP ServerCreate a session to analyze my repo and suggest improvements"
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.
Jules MCP Server (jules-mcp)
An MCP (Model Context Protocol) server that exposes Google Jules Agent operations via FastMCP.
This server lets MCP-compatible clients (and Python code) list Jules sources, create and manage sessions, and inspect activities using the official jules-agent-sdk.
Server framework: FastMCP
SDK: jules-agent-sdk
Python: 3.13+
License: Apache-2.0
Features
Tools exposed via the MCP server (grouped by area):
Sources
get_source(source_id)
list_sources(filter_str=None, page_size=None, page_token=None)
get_all_sources(filter_str=None)
Sessions
create_session(prompt, source, starting_branch=None, title=None, require_plan_approval=False)
get_session(session_id)
list_sessions(page_size=None, page_token=None)
approve_session_plan(session_id)
send_session_message(session_id, prompt)
wait_for_session_completion(session_id, poll_interval=5, timeout=600)
Activities
get_activity(session_id, activity_id)
list_activities(session_id, page_size=None, page_token=None)
list_all_activities(session_id)
See jules_mcp/jules_mcp.py for signatures and inline docstrings.
Related MCP server: Gemini CLI MCP Server
Installation
Option A — from a local checkout:
# from the repository root
pip install -e .Option B — using uv (recommended during development):
# from the repository root
uv syncThe project targets Python 3.13+.
Configuration
Set your Jules API key via environment variable:
Windows PowerShell
$Env:JULES_API_KEY = "<your_api_key_here>"Unix shells (bash/zsh)
export JULES_API_KEY="<your_api_key_here>"
If you do not provide an argument to jules(), the SDK reads JULES_API_KEY automatically.
Running the MCP server
There are two common ways to run the server.
Programmatic run (in-process) using FastMCP Client — useful for testing or embedding:
import asyncio
from fastmcp import Client
from jules_mcp import mcp
async def main():
async with Client(mcp) as client:
# Example: list all sources (auto-paginated)
result = await client.call_tool("get_all_sources")
print(result)
asyncio.run(main())As a standalone MCP server executable for external MCP clients:
Using uv and FastMCP directly
uv run fastmcp run jules_mcp/jules_mcp.py:mcpThis starts the MCP server over stdio.
Using the provided configuration files
MCP.json: a sample command configuration for MCP-aware hosts.
fastmcp.json: FastMCP runtime/environment configuration.
Adjust paths in MCP.json if you use a different checkout location.
You can also run via the module entry point:
python -m jules_mcpThis calls start_mcp() which invokes FastMCP.run() using the "mcp" instance defined in the package.
Usage notes and examples
Listing and filtering sources
import asyncio
from fastmcp import Client
from jules_mcp import mcp
async def main():
async with Client(mcp) as client:
# Filter syntax follows AIP-160 filtering rules supported by Jules
res = await client.call_tool(
"list_sources",
{"filter_str": "name=sources/source1 OR name=sources/source2", "page_size": 10}
)
print(res)
asyncio.run(main())Creating a session and waiting for completion
import asyncio
from fastmcp import Client
from jules_mcp import mcp
async def run_session():
async with Client(mcp) as client:
session = await client.call_tool(
"create_session",
{
"prompt": "Analyze the repository and propose improvements",
"source": "sources/abc123",
"require_plan_approval": True,
},
)
# Optionally approve plan
await client.call_tool("approve_session_plan", {"session_id": session["name"]})
# Wait for completion
final = await client.call_tool(
"wait_for_session_completion",
{"session_id": session["name"], "poll_interval": 5, "timeout": 600}
)
print(final)
asyncio.run(run_session())Inspecting activities
import asyncio
from fastmcp import Client
from jules_mcp import mcp
async def list_acts(session_id: str):
async with Client(mcp) as client:
acts = await client.call_tool("list_all_activities", {"session_id": session_id})
for a in acts:
print(a)
asyncio.run(list_acts("sessions/abc123"))Development
Create a virtual environment and install dev dependencies
uv sync # or: pip install -e .[dev]Run tests (note: some tools may reach the Jules API and require JULES_API_KEY)
uv run pytest -qLinting/formatting: follow your preferred tools; this repo does not include linters by default.
Project metadata
Package name: jules-mcp
Version: 0.1.0
Entry points:
Python module: python -m jules_mcp
FastMCP source: jules_mcp/jules_mcp.py:mcp
License
Apache License 2.0. See the LICENSE file for details.
Acknowledgements
FastMCP — https://gofastmcp.com/
Model Context Protocol — https://modelcontextprotocol.io/
jules-agent-sdk — unofficial/official SDK used by this server
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