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pitlane-mcp

by eresende·73·Score 48

Token-efficient code intelligence MCP server that indexes code once and lets agents retrieve only needed symbols.

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Overview

pitlane-mcp is a production-ready MCP server designed to reduce token usage in AI coding agents by providing AST-based code indexing. It supports multiple programming languages and implements a sophisticated symbol-based navigation system that allows agents to retrieve only the code portions they actually need, rather than processing entire files. The solution includes BM25 symbol search, optional semantic search, and tools for code investigation, location, tracing, and impact analysis.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:AI coding agents working with large codebases need efficient symbol lookup without processing entire files
you:Code analysis tasks that require understanding execution paths and impact of changes
you:Development teams using AI assistants that need to minimize token usage while maintaining code context
you:What programming languages does pitlane-mcp support?
you:How does pitlane-mcp reduce token usage?

When to choose this

Choose pitlane-mcp when working with large codebases where AI agents need efficient code navigation without context bloat, and when you need symbol-level retrieval rather than entire file analysis.

When NOT to choose this

Avoid pitlane-mcp if you need write access to the codebase (it's read-only) or if you're working with a small codebase where the indexing overhead isn't justified by the token savings.

Tools this server exposes

8 tools extracted from the README
  • ensure_project_ready

    Ensures the index exists and reports whether embeddings are still running.

  • investigate

    Provides broad code intelligence for subsystem, behavior, and execution-path questions.

  • locate_code

    Helps discover code symbols and files without reading full source.

  • read_code_unit

    Reads a specific code unit once the target is known.

  • trace_path

    Traces execution paths and source-to-sink relationships.

  • analyze_impact

    Analyzes impact before making edits or refactors.

  • get_index_stats

    Provides statistics about the codebase index.

  • search_content

    Searches for text fragments within the codebase.

Comparable tools

semantic-code-search-mcptree-sitter-mcpcode-mcpripgrep-mcpast-grep-mcp

Installation

Installation

Download a pre-built binary from [GitHub Releases](https://github.com/eresende/pitlane-mcp/releases/latest) for Linux, macOS, and Windows.

Or install via Homebrew:

brew tap eresende/pitlane-mcp
brew install pitlane-mcp

Or install via cargo-binstall:

cargo binstall pitlane-mcp

Or install from crates.io:

cargo install pitlane-mcp

Claude Desktop Setup

Add to Claude Desktop configuration:

{
  "mcpServers": {
    "pitlane-mcp": {
      "command": "pitlane-mcp",
      "args": []
    }
  }
}

FAQ

What programming languages does pitlane-mcp support?
pitlane-mcp supports Rust, Python, JavaScript, TypeScript, Svelte, C, C++, Go, Java, C#, Bash, Ruby, Swift, Objective-C, PHP, Zig, Lua, Kotlin, and Solidity.
How does pitlane-mcp reduce token usage?
It indexes code once with tree-sitter and lets agents retrieve only the symbols they need instead of dumping whole files into context, reducing prompt footprint by one or two orders of magnitude.

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Last updated · Auto-generated from public README + GitHub signals.