Explore our complete collection of MCP servers to connect AI to your favorite tools.
Exposes BirdNet-Pi data and functionality through a Model Context Protocol (MCP) server.
Empowers AI assistants to safely utilize external tools by processing data and providing helpful error messages.
Integrates AI models with the Australian Pharmaceutical Benefits Scheme (PBS) API for accessing medicine, pricing, and availability data.
Analyzes Japanese text morphologically to measure linguistic characteristics and provide feedback for text generation.
Enables Claude to interact with ClickUp workspaces via an MCP server.
Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.
Facilitates integration with large language models by providing a backend service with file access, database connectivity, API integration, and vector database access.
Enables interaction with the Jira API through the Model Context Protocol, allowing LLMs to manage and retrieve information from Jira.
Enables natural language interaction with Home Assistant entities using the Model Context Protocol.
Orchestrates tests and static analysis for PHP projects, streamlining development workflows.
Aids novelists, report writers, and others working with long-form content in drafting, revising, and finalizing written material.
Scans codebases for definitions, respecting .gitignore and outputting LLM-friendly formats.
Integrates Model Control Protocol (MCP) services into Spring Boot web applications with minimal configuration.
Integrates a Model Control Protocol (MCP) server with Google's Gemini API.
Enables AI agents to search Naver for blogs, news, shopping items, and other content via the Naver Search API.
Generates and manages activity reports for GitHub repositories, including stars, commits, and issues.
Manages unikernels using the nanos/ops toolchain through an mcp server.
Enables natural language querying of MySQL databases using Model Context Protocol (MCP) and a large language model.
Enhances the reliability of interactions between Large Language Models (LLMs) and tools, especially MCP servers, by providing a structured, validated, and controllable communication layer.
Connects to MySQL databases, providing a high-performance Model Context Protocol (MCP) server for lightweight and production-ready database operations.
Manage, expose, and synchronize AI agent skills from local files across various platforms like Codex and Claude.
Provides secure JavaScript execution environments and vector search capabilities specifically designed for AI agents.
Enhances AI assistant capabilities by providing deep contextual awareness of software projects through semantic code search and persistent memory.
Empower AI to autonomously control iOS simulators, test applications, and debug issues via natural language.
Provides comprehensive web search, Wikipedia lookups, and URL content extraction without requiring API keys.
Connects AI assistants to Home Assistant, enabling comprehensive smart home control and automation management through a Model Context Protocol (MCP) server.
Composes various data tools into a unified semantic data platform, enabling bidirectional context injection for enriched responses.
Enables AI assistants to manage PurelyMail email service operations through a Model Context Protocol (MCP) server.
Exposes Large Language Models as a 9P filesystem, enabling interaction through standard file operations.
Performs comprehensive read-only analysis of AWS infrastructure to identify attack paths, discover cost-saving security fixes, and detect unused capabilities.
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