Tilt 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., "@Tilt MCP ServerShow me all Tilt resources and their status."
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.
Tilt MCP Server
A Model Context Protocol (MCP) server that integrates with Tilt to provide programmatic access to Tilt resources and logs through LLM applications.
Overview
The Tilt MCP server allows Large Language Models (LLMs) and AI assistants to interact with your Tilt development environment. It provides tools to:
List all enabled Tilt resources
Fetch logs from specific resources
Monitor resource status and health
This enables AI-powered development workflows, debugging assistance, and automated monitoring of your Tilt-managed services.
Features
🔍 Resource Discovery: List all active Tilt resources with their current status
📜 Log Retrieval: Fetch recent logs from any Tilt resource
🛡️ Type Safety: Built with Python type hints for better IDE support
🚀 Async Support: Fully asynchronous implementation using FastMCP
📊 Structured Output: Returns well-formatted JSON responses
Prerequisites
Python 3.8 or higher
Tilt installed and configured
An MCP-compatible client (e.g., Claude Desktop, mcp-cli)
Installation
From PyPI (recommended)
pip install tilt-mcpFrom Source
git clone https://github.com/aryan-agrawal-glean/tilt-mcp.git
cd tilt-mcp
pip install -e .Configuration
For Claude Desktop
Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/claude/claude_desktop_config.json
{
"mcpServers": {
"tilt": {
"command": "tilt-mcp"
}
}
}For Development/Testing
You can run the server directly:
python -m tilt_mcp.serverOr use it with the MCP CLI:
mcp run python -m tilt_mcp.serverUsage
Once configured, the Tilt MCP server provides the following tools:
get_all_resources
Lists all enabled Tilt resources with their current status.
Example response:
[
{
"name": "frontend",
"type": "k8s",
"status": "ok",
"updateStatus": "ok"
},
{
"name": "backend-api",
"type": "k8s",
"status": "pending",
"updateStatus": "pending"
}
]get_resource_logs
Fetches recent logs from a specific Tilt resource.
Parameters:
resource_name(string, required): Name of the Tilt resourcetail(integer, optional): Number of log lines to return (default: 1000)
Example request:
{
"resource_name": "frontend",
"tail": 50
}Example response:
{
"logs": "2024-01-15 10:23:45 INFO Starting server on port 3000\n2024-01-15 10:23:46 INFO Server ready"
}Example Prompts
Here are some example prompts you can use with an AI assistant that has access to this MCP server:
"Show me all the Tilt resources that are currently running"
"Get the last 100 lines of logs from the backend-api service"
"Which services are failing or have errors?"
"Show me the recent logs from all services that aren't healthy"
"Help me debug why the frontend service is crashing"
Development
Setting up the development environment
# Clone the repository
git clone https://github.com/yourusername/tilt-mcp.git
cd tilt-mcp
# Create a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in development mode with dev dependencies
pip install -e ".[dev]"Running tests
pytestCode formatting and linting
# Format code
black src tests
# Run linter
ruff check src tests
# Type checking
mypy srcTroubleshooting
Common Issues
"Tilt not found" error
Ensure Tilt is installed and available in your PATH
Try running
tilt versionto verify installation
"No resources found" when Tilt is running
Make sure your Tiltfile is loaded and resources are started
Check that you're running the MCP server in the correct directory
Connection errors
Verify the MCP client configuration is correct
Check the logs at
~/.tilt-mcp/tilt_mcp.log
Debug Logging
To enable debug logging, set the environment variable:
export LOG_LEVEL=DEBUGContributing
We welcome contributions! Please see our Contributing Guide for details on:
Setting up your development environment
Running tests
Submitting pull requests
Code style guidelines
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
Support
📧 Email: aryan.agrawal@glean.com
💬 Issues: GitHub Issues
📖 Docs: GitHub Wiki
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Maintenance
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