MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1045 servers
An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va
mcp-name: io.github.wmarceau/fitness-influencer AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics. Production URL: https://fitness-influencer-production.up.railway.app (if deployed) When running the API server: Located at: .claude/skills/fitness-influencer-operations/SKILL.md Trigger phra
An MCP (Model Context Protocol) server that connects Claude with Todoist for complete task and project management through natural language. 1. Download todoist-mcp.mcpb from the latest release 2. Double-click the file (or drag onto Claude Desktop) 3. Enter your Todoist API token when prompted 4. Start chatting: "Show me my Todoist projects" Manual JSON configuration Add to your MCP client config (
A modern, cloud-based version of the Make MCP Server is now available. For most use cases, we recommend using this new version. A Model Context Protocol server that enables Make scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Make automation workflows. The MCP server: - Connects to your Make account and identifies all scenari
Transform your CRM workflow with AI! 🤖✨ Connect Claude directly to your CapsuleCRM account for natural language customer and sales management. - 🗣️ Talk to your CRM in plain English - "Show me all VIP customers from last month" - 🔍 Smart search and filtering - Find exactly what you need with powerful queries - 📊 Get instant insights - Query sales pipeline, customer data, and tasks - ⚡ Automate
A Model Context Protocol (MCP) server for Google Sheets API integration. Enables reading, writing, and managing Google Sheets documents directly from your MCP client (e.g., Claude Code, Claude Desktop, Cursor, etc.). - Complete Google Sheets Integration: Read, write, and manage spreadsheets - Advanced Operations: Batch operations, formatting, charts, and conditional formatting - Flexible Authentic
-brightgreen) A Model Context Protocol (MCP) server for analyzing technical debt across multiple programming languages. Designed to integrate with GitHub Copilot and other MCP-compatible tools. - Multi-language support: JavaScript, TypeScript, Python, Java, Swift, Kotlin, Objective-C, C++, C, C, Go, Rust, Ruby, PHP - Comprehensive analysis: Detects various types of tech debt including code quality
Local-first MCP runtime for multi-agent consensus guard workflows — AI code review, weighted voting, HITL approval gates, and full observability on SQLite. MCP stdio mode (Claude Desktop, OpenClaw, etc.): Prerequisites: Node.js 20+, npm 10+. Optional: gh CLI (for GitHub PR triggers), OpenAI API key (falls back to deterministic heuristics without one). Any model accessible via the OpenAI or Anthrop
A Model Context Protocol (MCP) server that provides access to the Metropolitan Museum of Art Collection through natural language interactions. This server allows AI models to search The Met's art collection and retrieve artwork details (including images) via tool results. - List Departments - Search Museum Objects - Get Museum Object - Open Met Explorer App - Prerequisites - Quick Start - Configur
OpenMCP is both: 1. a standard for converting web APIs into MCP servers 2. an open source registry of servers which follow the standard Each OpenMCP server gives MCP clients the ability to make requests to a particular web API in a token-efficient way. Together the servers in the registry represent a broad range of services, empowering the underlying client LLMs to fetch data and perform actions o
Replicate Flux MCP is an advanced Model Context Protocol (MCP) server that empowers AI assistants to generate high-quality images and vector graphics. Leveraging Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. - Getting Started & Integration - Setup Process - Cursor Integration - Claude Desktop Integration - Smithery Int
Chroma - the open-source embedding database . The fastest way to build Python or JavaScript LLM apps with memory! The Model Context Protocol (MCP) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require. This server provides data retrieval capabili
A Python module that serves as an MCP server for interacting with the Aseprite API Demo where Cursor draws a cloud in aseprite using the MCP: Build and run the Docker image: Or use the provided build scripts: - Linux/macOS: chmod +x build-docker.sh && ./build-docker.sh - Windows: .\build-docker.ps1 See DOCKER.md for detailed Docker setup instructions. To have the container install Aseprite via Ste
Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map. - Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.
A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps. Or using uvx: Or using docker safer and easier. Three installation methods have been successfully tested on macOS and Linux. For Windows users experiencing issues with npx for this MCP, consider using the Docker method. Alternatively, if you use Visual Studio Code, the "Markmap" extension offers a potent
A powerful Model Context Protocol (MCP) server that provides AI-powered image and video analysis using Google Gemini and Vertex AI models. - Dual Provider Support: Choose between Google Gemini API and Vertex AI - Multimodal Analysis: Support for both image and video content analysis - Flexible File Handling: Upload via multiple methods (URLs, local files, base64) - Storage Integration: Built-in Go
A Model Context Protocol (MCP) server tailored for Klever blockchain smart contract development. This server maintains and serves contextual knowledge including code patterns, best practices, and runtime behavior for developers working with the Klever VM SDK. - 🚀 Triple Mode Operation: Run as HTTP API server, MCP stdio server, or public hosted MCP server - 💾 Flexible Storage: In-memory or Redis
MCP server for Alog - AI × Human Blog Platform where AI agents write blogs alongside humans. Alog (alog.world) is a revolutionary blogging platform where AI agents can publish articles, share their thought processes, and interact with human writers. AI agents can log their thinking process in real-time and compile those logs into publishable articles. This MCP server allows Claude Desktop, Cursor,
A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction. - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries
The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description
A powerful MCP (Model Context Protocol) server for intelligent web content analysis and summarization. Built with FastMCP, this server provides smart web scraping, content extraction, and AI-powered question-answering capabilities. 1. urltomarkdown - Extract and summarize key web page content - Analyzes content importance using custom algorithms - Removes ads, navigation, and irrelevant content -
ComputerVision-based 🪄 sorcery of local image recognition and editing tools for AI assistants Official website: imagesorcery.net 🪄 ImageSorcery empowers AI assistants with powerful image processing capabilities: - ✅ Crop, resize, and rotate images with precision - ✅ Remove background - ✅ Draw text and shapes on images - ✅ Add logos and watermarks - ✅ Detect objects using state-of-the-art models
Read and write to a Pinecone index. The server implements the ability to read and write to a Pinecone index. - semantic-search: Search for records in the Pinecone index. - read-document: Read a document from the Pinecone index. - list-documents: List all documents in the Pinecone index. - pinecone-stats: Get stats about the Pinecone index, including the number of records, dimensions, and namespace
A Model Context Protocol (MCP) server for interacting with Meta Ads. Analyze, manage and optimize Meta advertising campaigns through an AI interface. Use an LLM to retrieve performance data, visualize ad creatives, and provide strategic insights for your ads on Facebook, Instagram, and other Meta platforms. mcp-name: co.pipeboard/meta-ads-mcp - Discord. Join the community. - Email Support. Email u