"author:SylphxAI" matching MCP servers:

Empowers AI agents to securely read and extract information (text, metadata, page count) from PDF files within project contexts using a flexible MCP tool.

Provides local-first repository architecture analysis with file-level proof, enabling agents to map codebases, locate implementations, trace call paths, and assess change impact with deterministic evidence.

Enables AI agents to retrieve exact-version library documentation from the project's lockfile and installed packages, providing cited API signatures and doc comments offline without rate limits.

An MCP server for managing Linear issues, projects, teams, and milestones through the Model Context Protocol. It enables users to create, update, and list workspace resources including issue statuses, comments, and user details.

A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.