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Indexes code repositories using semantic embeddings to provide intelligent search and analysis capabilities for LLM clients.
Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format to enhance prompt context.
Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).
Provides persistent project context and planning state to AI coding assistants like Claude Code.
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Connects Claude Desktop to Anki to analyze and manage learning using leech-tagged cards.
Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).
Demonstrates a Model Context Protocol (MCP) server implementation using streamable HTTP transport with the FastMCP framework.
Provides comprehensive access to Rust crate documentation and metadata from crates.io and docs.rs.
Enables natural language semantic search and detailed metadata filtering across a Pinecone vector database of economic books and academic papers.
Facilitates educational penetration testing by enabling AI assistants to interact securely with authentic Kali Linux tools via a Model Context Protocol server.
Fetches README files and searches for npm packages.
Serves as an interactive AI teaching assistant, simplifying complex artificial intelligence concepts for workshop participants and learners.
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