tilt-mcp
Model Context Protocol server for Tilt - interact with Tilt resources through MCP
Decision gist · record as of 2026-08-14
Yes, if you use Tilt for Kubernetes development and want to integrate it with LLM applications. Install friction is minimal and the MIT license is permissive. However, the package is in Alpha with no updates since initial release, so treat it as experimental; verify that fastmcp is maintained and that the API meets your stability requirements before relying on it in production workflows.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Tilt to be installed, configured, and running; an MCP-compatible client (e.g., Claude Desktop) to connect to the server; Python 3.8 or higher.
- Low install friction with a single pure-Python dependency (fastmcp).
- The package is in Alpha status and has not seen updates since its initial release 395 days ago, though the repository remains active and unarchived.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it suitable for both commercial and private projects.
last release 2025-07-15 (395 days) · last repo commit 2025-07-15 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 80,797 downloads/mo, #14,271 on PyPI
Alternatives
Verify before relying
pip install tilt-mcp
# Configure in Claude Desktop config file (e.g., ~/.config/claude/claude_desktop_config.json):
# {
# "mcpServers": {
# "tilt": {
# "command": "tilt-mcp"
# }
# }
# }
# Or run directly:
python -m tilt_mcp.server- Whether fastmcp is actively maintained and what its own dependency footprint is
- Stability and API compatibility guarantees for an Alpha-stage package
- Performance characteristics when querying large numbers of resources or logs
What it is and what it does
Tilt MCP Server is a bridge that lets Large Language Models and AI assistants interact with your Tilt development environment. It implements the Model Context Protocol, exposing two main capabilities: listing all active Tilt resources with their current status, and fetching recent logs from any resource. The server is built on fastmcp and runs as a standalone process that MCP-compatible clients (like Claude Desktop or mcp-cli) can connect to.
The package is designed for developers using Tilt to manage Kubernetes-based development workflows. It enables AI-powered debugging, automated monitoring, and natural-language queries about your services—for example, asking an AI assistant to show failing services or retrieve logs from a specific resource. It requires Python 3.8 or higher and an existing Tilt installation; the server communicates with Tilt via its API to fetch resource and log data.
Use it for
- Ask an AI assistant to list all currently running Tilt resources and their health status without manually checking the Tilt UI
- Retrieve the last N lines of logs from a specific service for debugging, triggered through natural language to an LLM
- Identify and debug failing or unhealthy services by querying Tilt state through an AI assistant
- Automate monitoring workflows where an LLM periodically checks resource status and alerts on anomalies
- Integrate Tilt resource visibility into an AI-powered development assistant or chatbot
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Tilt for Kubernetes development and want to integrate it with LLM applications.
Install friction is minimal and the MIT license is permissive. However, the package is in Alpha with no updates since initial release, so treat it as experimental; verify that fastmcp is maintained and that the API meets your stability requirements before relying on it in production workflows.
Install
tilt-mcp on PyPI
Before you install
Low install friction with a single pure-Python dependency (fastmcp). The package is in Alpha status and has not seen updates since its initial release 395 days ago, though the repository remains active and unarchived.
Requires Tilt to be installed, configured, and running; an MCP-compatible client (e.g., Claude Desktop) to connect to the server; Python 3.8 or higher.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it suitable for both commercial and private projects.
Quickstart
pip install tilt-mcp
# Configure in Claude Desktop config file (e.g., ~/.config/claude/claude_desktop_config.json):
# {
# "mcpServers": {
# "tilt": {
# "command": "tilt-mcp"
# }
# }
# }
# Or run directly:
python -m tilt_mcp.serverVerify before relying
- Whether fastmcp is actively maintained and what its own dependency footprint is
- Stability and API compatibility guarantees for an Alpha-stage package
- Performance characteristics when querying large numbers of resources or logs
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagefastmcp |
| Maintenance | Aging 395 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 80,797 / month, #14,271 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Build ToolsTopic :: Software Development :: Libraries :: Python Modules |
Evidence: tilt_mcp-0.1.3-py3-none-any.whl
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