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    A read-only MCP server that provides LLMs with introspection data and documentation for the Freqtrade codebase. It enables AI tools to access class signatures, method details, and configuration schemas to assist in writing more reliable trading strategies.
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    15
    GPL 3.0
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    Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.
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    Apache 2.0
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    Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.
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    GPL 3.0
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    Enables AI assistants to search and query documentation with flexible backend configurations (ChromaDB, Xenova embeddings) and supports multiple chunking strategies via an MCP server.
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    MIT
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    Provides instant access to MCP development documentation, best practices, production checklists, common mistakes, architecture patterns, and testing strategies to help developers build production-ready MCP servers.
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    MIT
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    AI-powered document generation suite that creates comprehensive software documentation including requirements, design specs, test strategies, and deployment guides through LangGraph workflows. Integrates with Cursor IDE via MCP to transform project ideas into professional documentation suites.
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    MIT
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    Enables processing and analysis of large PDF files through text extraction, search functionality, and intelligent chunking strategies. Provides comprehensive PDF operations including metadata retrieval, page-range text extraction, and content search with contextual results.
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    An MCP server that enables searching for Rust crates and their documentation from docs.rs, allowing AI agents to find required crates and access the latest documentation.
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    MIT
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    MCP server for Hugeicons integration and documentation This is a TypeScript-based MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons
    5
    671
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    MIT