rrmistry/tilt-mcp
by Various
MCP server for Tilt - enables LLMs to interact with your Tilt dev environment for building, deploying, and debugging Kubernetes workloads
MCP
rrmistry/tilt-mcp
Added 1 June 2026
Overview
rrmistry/tilt-mcp is a Model Context Protocol server that enables LLMs to interact with a Tilt development environment. It allows LLMs to build, deploy, and debug Kubernetes workloads through Tilt's tooling.
Best for
Best for
Developers already using Tilt who want to experiment with LLM-driven Kubernetes development
Use cases
- Triggering Tilt builds and deployments from an LLM chat interface
- Debugging Kubernetes workloads by querying Tilt status via an LLM
- Automating common Tilt workflows with natural language commands
How to use
Install
pip install tilt-mcp Tools exposed
trigger_resourceenable_resourcedisable_resourcewait_for_resourcelist_resourcesget_resource_logsdescribe_resourcedebug_failing_resourceanalyze_resource_logstroubleshoot_startup_failurehealth_check_all_resourcesoptimize_resource_usageIS_DOCKER_MCP_SERVERTILT_MCP_USE_SOCATTILT_HOSTTILT_MCP_LOG_FILE
Tested with
Claude Desktop, Claude Code, VS Code
Notes
rrmistry/tilt-mcp is a Model Context Protocol server that enables LLMs to interact with a Tilt development environment. It allows LLMs to build, deploy, and debug Kubernetes workloads through Tilt’s tooling.
5 stars on GitHub. Last updated 2026-03-08. Licensed MIT.
Use cases
- Triggering Tilt builds and deployments from an LLM chat interface
- Debugging Kubernetes workloads by querying Tilt status via an LLM
- Automating common Tilt workflows with natural language commands
Pros
- Tight integration with Tilt’s existing dev workflow
- Lightweight Python implementation with minimal dependencies
- Enables natural language control of Kubernetes development tasks
Cons
- Very early stage with only 5 GitHub stars and limited community
- Requires a running Tilt environment and MCP-compatible LLM client
- No documentation beyond the repository README
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Tight integration with Tilt's existing dev workflow
- Lightweight Python implementation with minimal dependencies
- Enables natural language control of Kubernetes development tasks
Cons
- Very early stage with only 5 GitHub stars and limited community
- Requires a running Tilt environment and MCP-compatible LLM client
- No documentation beyond the repository README
Pairs with
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