Explore our complete collection of MCP servers to connect AI to your favorite tools.
Generates images and videos using Amazon Nova models via AWS Bedrock within an MCP environment.
Enables AI-powered interaction with Confluence Cloud through a Spring Boot-based Model Context Protocol server.
Enables publishing content and managing Medium user accounts from external applications via a Microservice Communication Protocol (MCP) server.
Generates MCP-compatible server components dynamically from OpenAPI specifications.
Integrates Things 3 and Apple Notes with AI assistants using the Model Context Protocol (MCP).
Enables unstructured document processing for AI chatbots by extracting data from PDF files.
Provides a persistent memory system to combat AI memory loss in large-scale coding projects.
Provides programmatic access to the official open data portal of the Hong Kong government through a Model Context Protocol (MCP) server.
Showcases interactive agentic commerce user experiences through a Model Context Protocol (MCP) server that integrates with Goose.
Executes Google searches and extracts results by bypassing anti-bot mechanisms, offering both command-line and real-time search capabilities for AI assistants.
Unify diverse tools and capabilities through the Model Context Protocol, allowing AI systems to interact with specialized services with live progress updates.
Connects AI assistants to Infrahub, enabling agents to read and modify infrastructure state through a standardized, audited interface.
Connects AI assistants to SkySpark and Haxall building automation systems via a Model Context Protocol server.
Provides spatial context to Large Language Models by integrating geographic data services from the Géoplateforme.
Provides intelligent search and retrieval capabilities for knowledge bases through a Model Context Protocol server.
Integrates the Pylon customer support platform with AI agents via the Model Context Protocol (MCP).
Create and manage Hellō applications directly from your AI assistant with comprehensive contextual awareness.
Automates browser interactions with AI-driven control and advanced bot evasion techniques.
Enables programmatic control of the WeChat Developer Tools IDE and mini-programs from an MCP client via `miniprogram-automator`.
Perform semantic code search to find functions by their behavior rather than their names, leveraging local machine learning and GPU acceleration.
Provides a graph-based memory server for AI agents following the Model Context Protocol.
Generates image assets using Google Gemini AI, offering advanced control over output format, transparency, and resizing.
Provides over 100 curated AI agent skills from leading organizations, making them accessible to Claude, GitHub Copilot, and any Model Context Protocol client.
Provides full control over macOS mouse, keyboard, and screen capture functionalities, safely integrating with AI assistants.
Transforms Claude into an intelligent system administrator for Msty Studio Desktop, enabling natural language management of AI models and configurations.
Integrates WhatsApp HTTP API with AI assistants via Model Context Protocol for seamless automation.
Enables AI to generate and execute TypeScript code for flexible and complex operations within Tana's knowledge management system.
Integrates Large Language Models (LLMs) with the Fortnox Swedish accounting system, enabling automated management of financial operations and business intelligence analytics.
Enables semantic and keyword search across your Claude Code conversations, running entirely locally.
Traces GPU workloads from Linux kernel events through CUDA API calls to Python source lines using eBPF for comprehensive causal observability.
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