Pitlane
Token-efficient navigation substrate for AI coding agents. Index code once and retrieve only the symbols you need.
What is Pitlane?
Pitlane is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to token-efficient navigation substrate for ai coding agents. index code once and retrieve only the symbols you need.
Token-efficient navigation substrate for AI coding agents. Index code once and retrieve only the symbols you need.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Token-efficient navigation substrate for AI coding agents. I
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx pitlaneConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Pitlane
Pitlane MCP Server is a token-efficient code navigation substrate for AI coding agents, built in Rust using tree-sitter for accurate language-aware indexing. It indexes your codebase once and then answers architectural questions, locates symbols, traces execution paths, and analyzes change impact — returning only the relevant code units rather than streaming entire files into the AI context window. This dramatically reduces token consumption on large codebases and makes AI coding assistants faster and more accurate when working on real-world software projects.
Prerequisites
- Rust toolchain installed (for cargo install), or download a pre-built binary from GitHub Releases
- Alternatively, Homebrew on macOS for 'brew install pitlane-mcp'
- An MCP-compatible client such as Claude Desktop, Cursor, VS Code, or Claude Code
- A local codebase to index (the pitlane-mcp binary must have read access to the project directory)
Install pitlane-mcp
Install via Homebrew (macOS), cargo binstall, or download a pre-built binary from the GitHub Releases page. Choose the method that matches your system.
# macOS via Homebrew:
brew tap eresende/pitlane-mcp && brew install pitlane-mcp
# Via cargo binstall (fast, no compile):
cargo binstall pitlane-mcp
# Via cargo from crates.io:
cargo install pitlane-mcpVerify the installation
Confirm the binary is in your PATH and working correctly.
pitlane-mcp --versionConfigure Claude Code (CLI)
Add pitlane-mcp to Claude Code using the mcp add command. This registers the server for use in your coding sessions.
claude mcp add pitlane-mcp -- pitlane-mcpConfigure Claude Desktop or Cursor
Add the server to your MCP client configuration file. For VS Code, add to .vscode/mcp.json. For Claude Desktop, add to claude_desktop_config.json.
{
"mcpServers": {
"pitlane-mcp": {
"command": "pitlane-mcp",
"args": [],
"env": {}
}
}
}Index your project
Ask your AI assistant to index the project directory, or run the pitlane CLI directly. Indexing happens once and is cached for subsequent queries.
pitlane index /path/to/your/projectStart navigating code with AI
Once indexed, ask architectural or code navigation questions. Pitlane retrieves only the relevant symbols instead of loading entire files.
Pitlane Examples
Client configuration
Claude Desktop configuration for the Pitlane MCP server — no extra arguments or environment variables needed for basic use.
{
"mcpServers": {
"pitlane-mcp": {
"command": "pitlane-mcp",
"args": [],
"env": {}
}
}
}Prompts to try
Once the project is indexed, use these prompts to navigate and understand the codebase.
- "Index my project at /Users/you/myapp and give me an overview of its architecture"
- "Where is the authentication middleware defined and how is it wired into the request pipeline?"
- "Find all methods that call the 'sendEmail' function across the codebase"
- "If I change the 'User' model's 'email' field type, what other files will be affected?"
- "Trace the execution path from the HTTP request handler to the database query for the /users endpoint"Troubleshooting Pitlane
pitlane-mcp binary not found after installation
After 'cargo install pitlane-mcp', the binary is placed in ~/.cargo/bin/. Ensure this directory is in your PATH: echo 'export PATH="$HOME/.cargo/bin:$PATH"' >> ~/.zshrc && source ~/.zshrc. For Homebrew installs, run 'brew link pitlane-mcp'.
Index command runs but queries return no results
Ensure you are providing the absolute path to your project root when indexing. Run 'pitlane index /absolute/path/to/project' and wait for the indexing to complete before querying. Check stderr output via RUST_LOG=info pitlane-mcp for diagnostic messages.
Advanced primitive tools are not available
By default, lower-level primitive tools are hidden. Set the environment variable PITLANE_MCP_TOOL_TIER=all in your MCP server config env block to expose all available tools including advanced navigation primitives.
Frequently Asked Questions about Pitlane
What is Pitlane?
Pitlane is a Model Context Protocol (MCP) server that token-efficient navigation substrate for ai coding agents. index code once and retrieve only the symbols you need. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Pitlane?
Follow the installation instructions on the Pitlane GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Pitlane?
Pitlane works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Pitlane free to use?
Yes, Pitlane is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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