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Facilitates experimentation with the Model Context Protocol (MCP) through various projects and files.
Intelligently routes AI requests across multiple large language model providers to optimize for cost, performance, and reliability while maintaining quality.
Generates forms programmatically using the Weavely API via a Model Context Protocol (MCP) server.
Experiments with Model Context Protocol server implementations.
Connects Claude to Apache Unomi for user profile management, enabling context retention across conversations.
Provides a boilerplate Model Context Protocol server implementation for connecting AI assistants to external tools, data, and resources.
Provides AI assistants with programmatic access to the Consumer Rights Wiki, documenting modern consumer exploitation issues.
Access and search Wikipedia content locally through ZIM files, providing results in HTML or Markdown.
Provides a Model Context Protocol (MCP) interface to comprehensive sports data from the BALLDONTLIE API, including NBA, NFL, MLB, EPL, and NHL statistics, player information, and game data.
Enables Claude Code and other MCP-compatible tools to leverage multi-agent orchestration capabilities through a standalone Model Context Protocol server.
Exposes CyberChef operations as structured tools via an MCP server for AI agents and applications.
Provides an interface to interact with the LLM CLI for architectural design feedback, maintaining conversation context and handling communication.
Automates the discovery and building of Model Context Protocol (MCP) services directly from Python files.
Enables Gmail integration for MCP clients, providing direct email management.
Provides an AI-friendly server for interacting with Hacker News data.
Enables vector similarity search using LanceDB and custom embedding functions within a Node.js environment.
Implements Model Context Protocol (MCP) servers for LinkedIn profile scraping and weather data retrieval.
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