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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.

9,443 servers. Last updated -

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    A Model Context Protocol server that provides standardized interfaces for interacting with Ollama API, offering JSON responses, error handling, and intelligent guidance for LLM-based API calls.
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    A comprehensive Model Context Protocol server that enables AI assistants to search and retrieve content from Reddit, YouTube, and Twitter through simple API calls.
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    A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.
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    A TypeScript Model Context Protocol server that integrates with Google Tasks API, allowing users to create, list, update, delete, and toggle completion status of tasks.
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    An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.
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    A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.
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    An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.
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    This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
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    Hey @roocode community! I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server! This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates
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    Integrates with Google Tasks to allow listing, reading, searching, creating, updating, and deleting tasks.
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    Enables interactions with Google Cloud Tasks queues and tasks through natural language, allowing users to list, manage, pause/resume queues and handle tasks via Claude Desktop.
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    A Model Context Protocol server that bridges Claude with Google Tasks, allowing users to manage task lists and tasks directly through Claude interface.
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    A template for running Model Context Protocol servers on Vercel with Redis support, allowing developers to deploy their custom tools, prompts, and resources using the MCP TypeScript SDK.
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    A Model Context Protocol server that integrates AI assistants with Mem0.ai's persistent memory system, allowing models to store, retrieve, search, and manage different types of memories.
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    Deploys a Model Context Protocol server on Cloudflare Workers that enables AI models to access external tools without requiring authentication.
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    A deployable Model Context Protocol server on Cloudflare Workers that enables AI models to access custom tools without authentication requirements.
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    A serverless deployment for Model Context Protocol (MCP) on Cloudflare Workers that enables AI agents to use custom tools without authentication requirements.
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    A serverless implementation of Model Context Protocol on Cloudflare Workers that enables connecting AI assistants like Claude to custom tools without authentication.
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    A Model Context Protocol server implementation that runs on Cloudflare Workers, providing tool integration for AI assistants like Claude with OAuth login capability.
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    A Model Context Protocol server deployment on Cloudflare Workers that enables tool usage in Claude and other AI models with OAuth authentication support.
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    A serverless implementation for deploying Model Context Protocol servers on Cloudflare Workers that enables AI models to access custom tools without authentication requirements.
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    A basic example of deploying a serverless Model Context Protocol (MCP) server using Netlify Functions, allowing developers to quickly create and deploy MCP-compatible AI agent backends.
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    A server that implements the Model Context Protocol (MCP) on Cloudflare Workers, allowing Claude to access external tools through a secure OAuth login system.
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    A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing AI assistants like Claude to execute tools remotely through HTTP connections.
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    A server implementation of the Model Context Protocol (MCP) that runs on Cloudflare Workers, allowing AI assistants like Claude to access tools through OAuth authentication.
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    A Model Context Protocol server that runs on Cloudflare Workers, supporting OAuth login and enabling Claude AI to access remote tools and services via MCP.
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    A server for hosting Model Context Protocol (MCP) tools on Cloudflare Workers with OAuth authentication, allowing Claude AI and other MCP clients to access extended capabilities.
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    A Model Context Protocol server implementation that runs on Cloudflare Workers, allowing AI assistants like Claude to access external tools via MCP with OAuth login support.
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    A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.
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    A Model Context Protocol server implementation that runs on Cloudflare Workers with OAuth login, allowing Claude and other AI models to access tools via the MCP standard.
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