Llm Context.Py MCP Server

Getting the right context into LLM conversations is friction-heavy:

Local serverstdioPython

What is the Llm Context.Py MCP Server?

Llm context.py mcp server lets Claude, Cursor and other MCP clients work with Llm Context.Py directly. Getting the right context into LLM conversations is friction-heavy:.

What Llm Context.Py does

Getting the right context into LLM conversations is friction-heavy:

Key capabilities

  • Intelligent Selection — Rules automatically include/exclude appropriate files
  • Context Validation — Preview size and selection before generation
  • Code Excerpting — Extract structure while reducing tokens (15+ languages)
  • MCP Integration — AI accesses additional files without manual intervention
  • Composable Rules — Build complex contexts from reusable patterns
  • AI-Assisted Creation — Interactive skill or documentation-based approaches
  • Agent-Friendly — CLI and MCP interfaces for autonomous operation

Practical notes

  • Maintained by cyberchitta, written in Python.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
lc-initInitialize project configuration
lc-selectSelect files based on current rule
lc-contextGenerate and copy context
lc-outlinesGet code structure excerpts
lc-missingFetch files/implementations (manual MCP)

How to install the Llm Context.Py MCP Server

{
  "mcpServers": {
    "llm-context": {
      "command": "uvx",
      "args": [
        "--from",
        "llm-context",
        "lc-mcp"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Example prompts to try

  • “Use Llm Context.Py to lc-init.”
  • “Use Llm Context.Py to lc-select.”
  • “Use Llm Context.Py to lc-context.”

Frequently asked questions

Getting the right context into LLM conversations is friction-heavy: Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.