Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides a command-line interface for interacting with Model Context Protocol (MCP) servers using stdio and HTTP transport.
Manage Model Context Protocol servers with ease.
Provides a user interface for Nx and Lerna monorepos, enhancing developer workflow and AI integration within code editors.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Automates AI-powered workflows directly within your codebase.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Enables creating, editing, and manipulating PowerPoint presentations through the Model Context Protocol.
Enables interaction with iOS simulators for tasks like UI inspection, UI interaction, and screenshot capture.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Automates the evaluation and debugging of web applications using a browser-powered agent directly within your code editor.
Enables AI assistants to interact with the Godot game engine by launching the editor, running projects, and capturing debug output.
Connects to a Kubernetes cluster and enables management via commands.
Autonomously evaluates web applications using LLM-powered agents within a code editor.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Provides a robust and scalable operating system foundation for building, deploying, and managing intelligent AI agents.
Converts existing RESTful and gRPC services into MCP-Server compatible services without infrastructure changes.
Compose data sources into a unified graph using this GraphQL Federation platform.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface.
Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Enables developers to write Model Context Protocol servers and clients in Go with minimal code.
Enables AI agents to measure, exchange, and settle value on-chain within a decentralized network.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Scroll for more results...