Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables AI assistants to interact with Bloom Growth's GraphQL API through the Model Context Protocol.
Enables Large Language Models (LLMs) to interact with MongoDB databases using natural language.
Connects AI assistants like GitHub Copilot to your Supabase database to understand schema, tables, relationships and assist with query writing.
Implements a Model Context Protocol (MCP) server for managing and summarizing text-based notes.
Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.
Enables AI agents to interact with Shopify stores through a standardized protocol.
Provides a mirrored instance of the original spullara/mcp-server repository.
Provides a modular backend server offering various APIs for weather, location, calculations, IoT device control, and GitHub search.
Accesses, searches, and provides recommendations for AWS documentation content.
Provides a core server implementation for the Model Context Protocol, enabling structured data communication.
Performs comprehensive codebase analysis by loading entire projects into Google's Gemini AI's 1M token context window.
Generates a Multi-Agent Conversation Protocol (MCP) server for the NASA Astronomy Picture of the Day API.
Facilitates seamless interaction with GraphQL APIs by executing queries and exposing schema within a model context.
Automates screenshot capture and user manual generation for web applications using configurable workflows.
Provides a Node.js server for accessing and analyzing graph data from the Pythagraph RED API using the Model Context Protocol.
Provides SSH functionality for managing remote servers, executing commands, and performing file operations.
Provides comprehensive documentation and insights for AWS AgentCore to GenAI tools, enabling the development of production-ready AI agents.
Enables AI assistants to interact with Google Cloud Platform resources using natural language.
Track real-time AI/LLM research advancements across multiple academic and development platforms.
Provides unified, Windows-native step-through debugging across multiple programming languages via an MCP to DAP bridge.
Perform professional-grade website audits by integrating multiple industry-standard tools into a unified interface for AI agents.
Integrates Eureka Labo task management with Claude Code, automatically tracking development work and git changes for a streamlined workflow.
Executes commands in a persistent sbt shell session to avoid startup overhead.
Exposes advanced Notion search, reading, summarization, and emotion-analysis capabilities to any MCP-compatible LLM client.
Exposes the comprehensive Serper Google Search API, including its webpage scrape functionality, as an MCP server.
Streamlines Dart AI task management by enabling context-efficient batch operations, SQL-like selectors, and CSV imports.
Enables natural language control of the Timesheet API for time tracking, project management, and expense logging through MCP-compatible clients like Claude and Cursor.
Control Fivetran data pipelines to manage syncs, monitor connection status, and configure data sources.
Enables AI agents to capture web content by taking screenshots, generating PDFs, creating OG images, and running browser automation directly from chat.
Provides a modern terminal environment with advanced features for rapid development and AI agent interaction.
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