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Accesses and searches OpenTelemetry documentation using the Model Context Protocol.
Provides comprehensive web research and discovery capabilities through 13 specialized tools for searching, crawling, and analyzing web content.
Empowers AI coding assistants with semantic search across Apple's comprehensive developer documentation, WWDC transcripts, and code examples.
Enhances development proficiency by providing best practices and guidelines for the CURSOR IDE and various programming languages.
Demonstrates a basic JSON-RPC client and server implementation using Node.js.
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and retrieve detailed research information.
Validates code and content against official Model Context Protocol specifications, ensuring technical accuracy and preventing misinformation.
Provides AI assistants with instant, accurate Maven Central dependency intelligence and documentation support for all JVM build tools.
Exposes Go project insights and static analysis to large language models for enhanced understanding and code generation.
Demonstrates the Model Context Protocol (MCP) for AI assistants to interact with external tools and data sources.
Manages and semantically searches a personal library of AI prompts using RAG-powered semantic search, accessible via the Model Context Protocol.
Provides programmatic access to Pydantic-AI documentation via a Model Context Protocol (MCP) server.
Fetches and summarizes developer documentation from MDN Web Docs.
Provides a server for Claude Code to efficiently query all Cangjie programming language documentation directly within the IDE.
Manages coding preferences efficiently using an MCP server and mem0 for structured storage, retrieval, and semantic search.
Enables AI assistants to perform full-text searches and retrieve content from Obsidian vaults using the Model Context Protocol.
Retrieves relevant sections from PDF documents for use within Zed's AI Assistant.
Enables AI agents to search documentation within HexDocs using the search API.
Provides a basic MCP server implementation utilizing streamable HTTP for communication.
Provides efficient search and referencing capabilities for user-configured documentation.
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