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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

11,895 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.
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    • Apple
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    An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.
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    MIT License
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    An MCP server that downloads videos/extracts audio from various platforms like YouTube, Bilibili, and TikTok, then transcribes them to text using OpenAI's Whisper model.
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    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
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    Enables conversion of PDF files to Markdown format with optional image extraction using docling. Supports batch processing of multiple PDFs with structured output including metadata and processing statistics.
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    MIT License
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    Generates precise, measurable quality evaluation standards and scoring criteria for any task, transforming vague requirements into specific dimensions that guide execution and improve work quality.
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    Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.
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    Enables video text extraction using multiple speech recognition providers including local Whisper, JianYing/CapCut, and Bilibili Cut services. Supports video downloading, audio extraction, and automatic speech-to-text transcription with configurable providers.
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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 AI assistants to create and run Processing sketches directly through natural language commands.
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    MIT License
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    Enables Claude to set up and manage enterprise-grade code quality pipelines for projects, including automated formatting, linting, security scanning, and pre-commit hooks. Transforms any project into a quality-enforced codebase with AccuFlow's battle-tested engineering setup in seconds.
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    An MCP server that provides comprehensive PDF processing capabilities including text extraction, image extraction, table detection, annotation extraction, metadata retrieval, page rendering, and document structure analysis.
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    • Apple
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    A Model Context Protocol server that extracts and processes content from PDF documents, providing text extraction, metadata retrieval, page-level processing, and PDF validation capabilities.
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    • Apple
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    A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.
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    MIT License
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    Enables processing, validation, optimization, and analysis of 3D models with glTF/GLB support, including format conversion, compression (Meshopt/Draco), texture optimization, and detailed model statistics.
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    A PDF processing server that extracts text via normal parsing or OCR, and retrieves images from PDF files through the MCP protocol with a built-in web debugger.
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    AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.
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    MIT License
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    Enables creative PDF generation with full design control including colors, shapes, emoji, and Unicode support. Supports everything from simple documents to artistic masterpieces using PDFKit's powerful API.
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    MIT License
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    An MCP server that calculates basic text metrics for input text.
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    Enables AI-powered querying of PDF documents using hybrid retrieval (BM25 + vector search) and retrieval-augmented generation, returning structured answers with source citations and confidence scores.
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    An open source implementation of the Claude built-in text editor tool versions: text\_editor\_20241022 (Claude 3.5 Sonnet) text\_editor\_20250124 (Claude 3.7 Sonnet)
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    MIT License
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    A server that provides tools for reading and processing PDF documents, allowing users to list available PDFs and extract their content in Markdown format.
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    MIT License
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    mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)
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    The Unlicense
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    Enables conversion of Markdown content into PDF documents with customizable paper formats and orientations. Supports both inline Markdown text and file path inputs, automatically generating PDFs using Playwright and Chromium.
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    MIT License
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    Enables reading and extracting text content from PDF files, supporting both local file system access and remote PDF URLs with automatic encoding detection.
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    Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.
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    A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.
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    Apache 2.0
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    Enables AI assistants to generate professional PDF documents from markdown content with advanced typography, syntax highlighting, math equations, dark mode, and customizable styling options.
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    MIT License
    • Apple
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    A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
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    Apache 2.0