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  • Activepieces Open Source Workflow Automation

    Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

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  • Docker MCP Server for Container Lifecycle Management

    An MCP server that enables AI agents to manage Docker containers, images, volumes, and networks through natural language. Supports local and remote Docker engines for container lifecycle operations via the Model Context Protocol.

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  • Notion MCP Server for AI Workspace Integration

    The official Notion MCP Server enables AI agents to interact with Notion workspaces through the Model Context Protocol. It provides tools for querying data sources, creating and updating pages, searching content, and managing databases — all accessible via natural language prompts from Claude, Cursor, Copilot, and other MCP clients.

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  • Linear MCP Server for Issue Tracking and Project Management

    An MCP server that integrates Linear project management with AI assistants. Enables creating, searching, updating, and commenting on Linear issues, managing projects and teams, and querying workflows through the Model Context Protocol.

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  • Upstash MCP Server for Redis and QStash Management

    An official MCP server from Upstash that lets AI agents manage Redis databases, QStash message queues, and Vector stores through natural language. Supports database creation, key operations, backups, and throughput analytics via the Model Context Protocol.

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  • Chroma MCP Server for Embedding Database Operations

    An official MCP server for the Chroma open-source embedding database. Enables AI agents to create collections, add documents, perform vector search, full-text search, and metadata filtering through the Model Context Protocol.

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  • Cloudflare MCP Servers for Workers, Security, and Observability

    Official Cloudflare MCP servers that enable AI assistants to manage Workers applications, debug logs, analyze Radar traffic data, configure security settings, and interact with the full Cloudflare platform through natural language via the Model Context Protocol.

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  • Qdrant MCP Server for Vector Search and Semantic Memory

    An official Qdrant MCP server implementation that provides semantic memory capabilities for AI agents. Enables storing and retrieving information using vector search, acting as a persistent knowledge layer on top of the Qdrant vector database.

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  • Supabase MCP Server for Database and Project Management

    An official MCP server that connects Supabase projects to AI assistants like Claude, Cursor, and Windsurf. Enables natural-language database management, table operations, SQL queries, and project configuration through the Model Context Protocol.

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  • Neon MCP Server for Serverless Postgres Management

    The Neon MCP Server enables AI agents to manage serverless PostgreSQL databases through natural language via the Model Context Protocol. Create projects, run queries, manage branches, and perform database migrations conversationally.

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