Discover and integrate data MCP servers to extend Claude's capabilities
40 data MCP Servers Available
Tools for seamless integration of different systems and services.
Cloud infrastructure and deployment management tools.
AI-powered tools for creative design workflows across 3D and 2D mediums.
AI-powered tools for product development, design review, and performance monitoring.
Tools for monitoring, analytics, and operational efficiency.
An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.
MCP for Video- or Image-Generation with Google VEO2
Dify 1.0 Plugin Convert your Dify tools's API to MCP compatible API
MCP server that enables Roo Code to make OpenAI API calls, with full support for DALL-E image generation
Static Code Analysis and Visualization. Convert Code to UML and Flow Diagram and explain by AI.
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
A powerful MCP tool for parsing and manipulating MIDI files based on Tone.js. This library leverages the Model Context Protocol (MCP) to enable AI assistants to easily read, analyze, and modify MIDI files without dealing with the complexities of the MIDI file format.
Luma AI Video + Audio + Image Generation and RunwayML Video Generation from Image and Text
MCP server for OpenRouter providing text chat and image analysis tools
Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
MCP Toolbox for Databases is an open source MCP server for databases.
Documentation Generator MCP Server for automated documentation creation
Implementation of Anthropic's MCP protocol for Firebird databases.
A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.
An MCP server that can convert Excel (.xls/.xlsx) and Apple Numbers (.numbers) files to PDF
MCP tool for LLM interaction with EPUB and PDF files.
MCP server which allow LLM in agent mode to analyze image whenever it needs
Telegram MCP for managing dialogs, messages, drafts, read statuses, and more.
This project demonstrates how to use Cloudflare Browser Rendering to extract web content for LLM context. It includes experiments with the REST API and Workers Binding API, as well as an MCP server implementation that can be used to provide web context to LLMs.
A lightweight MCP server for processing, editing, and interacting with PDF, Word, Excel, and CSV documents.
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages such as Python, C, C++, Rust, Zig, Lua.
An MCP for WireShark (tshark). Empower LLM's with realtime network traffic analysis capability
MCP server for AI image generation and editing using Google's Gemini Flash models. Create images from text prompts with intelligent filename generation and strict text exclusion. Supports text-to-image generation with future expansion to image editing capabilities.
MCP Server for the GitHub Enterprise APIs, enabling file operations, repository management, search functionality, and more.
A Model Context Protocol server for Excel file manipulation
This MCP server provides image generation capabilities using the Replicate Flux model.
MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
Image generation server for Claude Desktop using EverArt's API.
Production-ready RAG out of the box to search and retrieve data from your own documents.
Search engine for AI agents (search + extract) powered by Tavily
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
