Explore our complete collection of MCP servers to connect AI to your favorite tools.
Plays notification sounds when AI coding assistants like Windsurf or Cursor require user attention.
Demonstrates the implementation of Model Context Protocol (MCP) using Langchain MCP Adapters and Ollama.
Integrates ChainGPT capabilities into AI agents for accessing crypto-related information.
Manages Model Context Protocol (MCP) servers using the asdf version manager.
Enables AI agents to interact with your API.
Generates complete constructor examples with placeholder values for Pulumi resources.
Integrates an extensive collection of custom tools, making them available to Large Language Models like Claude and VS Code Copilot.
Provides an MCP server to access Deepgram's advanced speech recognition and text-to-speech functionalities.
Serves offline Qt 4.8.4 documentation, converting HTML to Markdown and providing full-text search to Agents, LLMs, and IDEs.
Automate the redaction of sensitive text and specified areas within PDF documents.
Quickly deploys a full-stack Nginx proxy for n8n with Docker Compose, facilitating container management via Portainer and SSL securing through Certbot.
Executes commands on local and remote hosts via SSH, providing a powerful interface for AI models and applications with enhanced session management and reliability.
Exposes Tuba.ai computer vision workflows as callable tools for programmatic interaction by AI assistants, scripts, and services.
Automate comprehensive penetration testing with an AI-powered framework leveraging LM Studio for autonomous decision-making.
Provides Large Language Models with streamlined access to open data from the Swedish Government Offices and Parliament.
Assists Space Engineers plugin developers by serving decompiled game code to AI coding agents.
Access and explore comprehensive Rust crate and standard library documentation from docs.rs, doc.rust-lang.org, and crates.io.
Implements a high-performance, async-first Model Context Protocol (MCP) for building robust servers and clients in Rust.
Provide AI coding agents full access to remote machines over SSH for managing multiple connections and operations.
Provides a high-performance Language Server Protocol (LSP) and Model Context Protocol (MCP) server for Markdown and various structured data formats, optimized for AI agents.
Enables AI assistants to interact with Metabase instances through a Model Context Protocol server.
Wraps any agentic command-line interface tool with a config-driven Model Context Protocol (MCP) server.
Provides production-ready code examples for integrating Brainiall Speech AI APIs, including Pronunciation Assessment, Speech-to-Text, and Text-to-Speech.
Provides a local, persistent long-term memory engine for AI coding assistants using hierarchical compression.
Integrates formal verification capabilities for the Quint specification language, enabling type-checking, simulation, testing, and parsing via any MCP client.
Provides a local server for comprehensive NFL data, enabling natural language querying within integrated development environments.
Enables AI agents to fully see and operate every application on a macOS system, providing precise control and context.
Provides comprehensive documentation and utilities for the Reacticx React Native component library.
Provides a shared, durable memory layer for AI agents using SQLite.
Provides AI coding agents with design intelligence to see, judge, and learn from visual design quality.
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