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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.

9,497 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A Model Context Protocol server that converts Markdown content to HTML format.
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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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    Converts Markdown to styled PDFs using VS Code's markdown styling and Python's ReportLab, with a simple note storage system.
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    A multi-server system that converts PDF documents to Markdown format using FastMCP architecture with upload and convert servers orchestrated by a reactive client agent.
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    An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.
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    A server that converts various file formats (PDF, images, Office documents, etc.) to Markdown descriptions using Cloudflare AI services.
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    Converts Markdown to styled PDFs using VS Code's markdown styling and Python's ReportLab, providing a simple note storage system with custom URI scheme.
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    An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.
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    A professional video format conversion tool based on MCP protocol that supports multiple formats, batch processing, and quality control for video files.
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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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    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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    A powerful MCP tool that converts Markdown documents into beautiful knowledge card images with 20+ card styles, suitable for sharing on blogs and social media.
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    Apache 2.0
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    A Model Context Protocol server that provides color conversion between multiple color spaces including RGB, RGBA, HEX, HSL, OKLCH, LAB, and CMYK.
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    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.
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    A server that provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, enabling informed code generation by exposing these docs as resources or tools.
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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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    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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    A server providing PDF form manipulation tools via MCP's API, allowing users to find PDFs across directories, extract form field information, and visualize form fields in documents.
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    A Model Context Protocol server that converts PDF documents into PNG images through a simple MCP tool call.
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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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    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
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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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    A Model Context Protocol server that enables Claude to fetch, process, and extract information from PDF documents, including LaTeX mathematical equations.
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    Empowers AI agents to securely read and extract information (text, metadata, page count) from PDF files within project contexts using a flexible MCP tool.
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    Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
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    Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.
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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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    Enables merging multiple files into a single file through a simple MCP interface. Provides a secure way to combine files while restricting access to only allowed directories.
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    Apache 2.0