MCP server that enables coding agents to retrieve project context, semantically search indexed documentation, and read specific documents from registered repositories.
MCP server that provides AI coding agents automatic access to AGENTS.md documentation from GitHub repositories, enabling understanding of codebase conventions and patterns.
MCP server that scans multi-language codebases to detect stubs, missing imports, and structural incompleteness, assigning drift scores to quantify LLM context erosion.
An MCP server that helps catch context drift in AI coding agents by comparing actual code changes against the original request, allowing users to keep or roll back unintended additions.
An MCP server that provides tools to fetch live, version-accurate documentation, changelogs, examples, and method signatures for npm and PyPI packages, preventing AI coding agents from hallucinating stale APIs.