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    A basic Model Context Protocol (MCP) server implementation that provides a foundation for MCP server development. The README doesn't specify particular functionality, suggesting it may be a template or starting point for building custom MCP servers.
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    Public implementation of MCP for ROS 2 enabling to interact with system visible various robots, capable of: List available topics List available services Call service Subscribe topic to get messages Publish message on topic and more
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    Mozilla Public 2.0
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    DBCode is a Visual Studio Code extension that allows you to manage many databases, including PostgreSQL, MySQL, SQL Server, DuckDB, Redis, MongoDB, and more. DBCode offers the option to run an MCP server, providing access to those databases, their schemas, and the ability to execute queries.
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    ISC
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    A unified MCP server providing AI agents with 40+ developer APIs including geolocation, crypto prices, DNS lookup, and web scraping. Enables natural language access to various tools through a single gateway.
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    MIT
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    An MCP server that exposes structured Functional Requirements Documents (FRDs) to enable AI assistants like GitHub Copilot to automatically generate complete NestJS boilerplate architectures. It orchestrates the multi-phase creation of production-ready APIs including core CRUD, database integration, JWT authentication, and unit testing.
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    MIT
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    A referee for self-improving AI agent loops that mines past sessions for effective workflows, improves them, and requires measured proof before declaring anything better or done, never stopping until the user stops it.
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    MIT
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    An orchestration platform for deploying parallel swarms of tool-enabled AI agents to perform complex tasks like code generation, system monitoring, and multi-perspective analysis. It features a unique chunked write pattern that enables the creation of large-scale documents and code files by assembling parallel agent outputs.
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    Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.
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    MIT
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    MCP server that detects project frameworks (25+), starts dev servers, and creates public Cloudflare tunnels from a single tool call. Text Claude via Dispatch "start my project and give me a link" and get back an HTTPS URL you can open on your phone. Supports full-stack projects, auto-installs dependencies, and also works as a standalone CLI.
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    MIT
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    An implementation of the Recursive Language Models architecture that enables AI agents to process massive documents by programmatically decomposing them into sub-queries. It allows for cost-effective and accurate reasoning across millions of tokens by treating long-form data as an external environment for root and worker models.
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    MIT
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    A comprehensive local offline MCP server with over 300 tools for file operations, office documents, PDFs, code execution, databases, web browsing, memory, and cognitive functions, designed to work offline except for web search and email.
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    MIT