Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables interaction with the Bluesky social media platform.
Provides a unified interface to interact with Firebase Authentication, Firestore, and Storage services.
Enables integration between Obsidian vaults and Model Context Protocol (MCP) servers.
Provides client applications with the ability to access and retrieve Wikipedia pages.
Enables AI models to interact with and manipulate Apple Calendar data on macOS.
Orchestrates AI agents for automated research tasks using a multi-agent framework.
Enables Model Context Protocol (MCP) to interact with any REST API by providing API documentation and keys via messages.
Sends emails through Gmail's SMTP server using AI agents, incorporating resilient design and multiple attachment methods.
Simplifies the installation and management of Roo Model Context Protocol (MCP) servers.
Enables semantic search of macroeconomic data for quantitative research AI agents.
Facilitates searching and retrieving information from DevRev using its APIs.
Establishes a Model Context Protocol server to integrate YouTube's data and functionalities directly into Claude Desktop.
Enables AI assistants to interact with Obsidian vaults via the Model Context Protocol.
Provides persistent memory and instruction management for VS Code's GitHub Copilot, ensuring it remembers user preferences and context across conversations.
Streamlines development workflows by providing consistent environments, tooling configurations, and coding patterns for modern AI Agentic coding across multiple repositories.
Facilitates searching and retrieving details for rental properties on Daft.ie via an MCP server.
Integrates with Apple Notes to create a personal memory system for AI, enabling recall and saving of information from macOS.
Provides an experimental server for interacting with the OXC parser's Abstract Syntax Tree.
Enables coding agents to execute long-running shell commands asynchronously with full process management capabilities.
Provides access to the gnomAD GraphQL API for AI assistants.
Optimizes LLM agent operations by intelligently suppressing expensive LLM calls through a hierarchical decision-making architecture, drastically reducing costs and latency.
Facilitates in-depth analysis of scientific papers by providing local PDF parsing, mathematical formula explanation, code generation, and intelligent reporting.
Automates comprehensive security analysis and vulnerability detection for Android APKs.
Enables AI agents to interact with terminal applications by representing their state as a structured Terminal State Tree (TST).
Enables AI agents to interact with Google BigQuery databases via natural language queries and schema exploration.
Enables Large Language Models to interact with and control Android devices programmatically.
Enables portable, version-controlled, and machine-actionable storage of review comments separate from Markdown files.
Enables AI assistants to directly interact with and control Windows UI elements across various application types.
Provides a powerful MCP server for 1C (BSL) code templates, featuring semantic search, a web-based CRUD UI, and over 2200 pre-installed templates.
Automate multi-step tasks and control Android devices by observing screenshots and operating the device with a vision-capable model.
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