eresende/pitlane-mcp — Token-efficient navigation substrate for AI coding agents.

Description and use

The **pitlane-mcp** project provides a token‑efficient navigation layer for AI coding agents, allowing them to index a codebase once and then retrieve only the specific symbols they need during generation. By acting as a lightweight substrate that maps symbols to their locations, it dramatically reduces prompt size and improves the speed and accuracy of AI‑driven code assistance. Suitable for developers building AI‑augmented programming tools.

Problem

eresende/pitlane-mcp helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

Token-efficient navigation substrate for AI coding agents. Index code once and retrieve only the symbols you need.

Source