Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connects to IMAP servers to summarize emails based on user-defined criteria.
Enables retrieval-augmented generation for efficient semiconductor component search, leveraging the Model Context Protocol.
Connects Claude Desktop to Azure AI Agent Service for AI-enhanced document and web search, or directly integrates with Azure AI Search for keyword, vector, and hybrid search capabilities.
Enables AI assistants to access comprehensive n8n node documentation, properties, and operations via a Model Context Protocol server.
Bridges on-premise Jira and Confluence instances to facilitate data exchange and integration.
Serves live weather data and forecasts via REST and MCP APIs, optimized with built-in database caching to reduce external calls.
Enables AI assistants to search Giant Swarm's public documentation, internal handbook, and intranet resources.
Enables Multi-Screencap Control (MSC) clients to interact with Android devices for screen capture, device information retrieval, and utility installations via the MCP protocol.
Provides AI agents with real-time access to Binance cryptocurrency market data.
Provides a collection of custom Model Context Protocol (MCP) servers.
Enables AI agents to send SMS messages and retrieve related information via the Aligo SMS API using the Model Context Protocol (MCP).
Captures intelligent, context-aware screenshots with natural language understanding to provide visual information for Large Language Models.
Provides a standardized interface for accessing and managing HubSpot CRM data via the Model Context Protocol.
Enables AI assistants to access and analyze comprehensive YouTube channel data and facilitate content strategy.
Manages Gmail interactions for AI agents, enabling personalized bulk email campaigns and local customer data management.
Enables AI assistants to control Spotify playback and access user playlists through the Model Context Protocol (MCP).
Provides advanced QB64PE programming assistance through a Model Context Protocol server.
Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
Provides an extensible and production-ready template for building async Model Context Protocol (MCP) servers in Python.
Analyzes GitHub Actions workflows and performance to identify CI/CD bottlenecks.
Facilitates access to methods and types exposed by SOAP WSDLs.
Empowers AI assistants to perform web automation tasks by controlling a browser through a set of tools.
Facilitate continuous, interactive control of AI agents like Claude or Cursor directly from Telegram.
Provides a foundational server implementation for Dremio's Materialized Centralized Processing (MCP) protocol, enabling file-based data interactions.
Provides an auto-generated Model Context Protocol (MCP) server for the Zoom API.
Automates repetitive coding tasks and provides AI assistance to streamline software development workflows.
Enables AI assistants to interact with Google Cloud Platform services, primarily for log analysis and root cause investigation.
Enables an intelligent assistant to store, retrieve, and update user preferences and memories through an MCP-driven chat interface.
Enables AI assistants to perform DNS reconnaissance through natural language requests using the DNSDumpster API.
Fetches daily weather forecasts for any city using the Open-Meteo API.
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