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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.

11,780 servers. Last updated -

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Matching MCP servers:

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    Enables integration between MCP clients and the Handwriting OCR service, allowing users to upload images and PDF documents, check processing status, and retrieve OCR results as Markdown.
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    OCR images or pdfs, locally or by URLs by using Mistral OCR API (paid)
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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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    This is a server implementation for performing Optical Character Recognition (OCR) using the Google Cloud Vision API. It is built on top of the FastMCP framework, which allows for the creation of modular and extensible command processing tools.
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    Enables intelligent Markdown document analysis including extracting table of contents with hierarchy, detecting numbering issues like duplicates and discontinuities, and generating formatted TOC content in multiple output formats.
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    Extracts clean markdown content from web pages using Playwright, automatically filtering out navigation, headers, and ads while preserving formatting. Handles JavaScript-heavy sites and dynamic content, making web content easily readable and processable.
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    Provides JSON schema generation and filtering tools for LLMs, helping with large JSON files by converting them to TypeScript definitions and extracting specific fields to reduce context size.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    A Model Context Protocol server that converts Markdown content to HTML format.
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    A Model Context Protocol server for querying large JSON files using JSONPath expressions, enabling LLMs to efficiently search and extract information from large JSON data.
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    Enables AI to create, edit, and batch generate JSON data with advanced rule engines. Supports CRUD operations, node-level editing, template management, and multi-format file exports (JSON, JSONL, CSV).
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    Provides powerful JSON manipulation tools through Model Context Protocol, enabling complex queries, schema generation, and validation with jq notation and native Node.js operations.
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    A starter template for building MCP (Model Context Protocol) servers with TypeScript support. Provides a clean foundation with example tools, resources, and prompts for creating custom integrations with Claude, Cursor, or other MCP-compatible AI assistants.
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    Query only the data you need from your JSON file and keep your context clean
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    A Model Context Protocol server implementation that enables LLMs to query and manipulate JSON data using JSONPath syntax with extended operations for filtering, sorting, transforming, and aggregating data.
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    A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.
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    Creates compact skeleton representations of large JSON files by preserving structure while truncating string values and deduplicating arrays, helping users understand JSON structure without processing the full data payload.
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    Enables users to manage data in a simple JSON file database through MCP tools and REST API. Supports creating, reading, updating, and deleting items organized in collections with auto-generated UUIDs.
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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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    Enables comprehensive JSON file operations including reading, writing, transforming, and analyzing JSON data from local files and URLs. Supports JSON pointer access, schema inference, data merging, and specialized market data optimization tools.
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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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 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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    The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format
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    The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.
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    Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
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    An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.
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    A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.
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    Exposes OpenBB widget specifications as structured tools, enabling developers and AI assistants to programmatically query widget types, parameters, and configuration examples for building OpenBB applications.
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