Browse and discover Model Context Protocol compatible servers
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The n8n MCP Server enables AI assistants to interact with n8n workflows using natural language. It allows assistants to manage workflows, execute them, and access related information, facilitating AI-driven automation.
MCP Tools CLI is a versatile command-line interface for interacting with Model Context Protocol (MCP) servers, enabling tool discovery, resource utilization, mock server creation, and request proxying. MCP Tools CLI
This repository provides an MCP language server that bridges the gap between LLMs and language servers, offering tools like `read_definition` and `find_references` for enhanced code understanding and manipulation.
Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
This repository provides an MCP server that installs other MCP servers from npm or PyPi, allowing Claude to install and manage MCP servers with specified arguments and environment variables.
MiniMax MCP server: Enables TTS, image & video generation API access. Facilitates model interaction.
This repository implements an MCP server for Apify Actors, enabling AI assistants to use them as tools for tasks like data extraction and web scraping via HTTP or standard input/output.
A secure sandbox environment for malware developers and red teamers to test payloads against detection mechanisms before deployment. Integrates with LLM agents via MCP for enhanced analysis capabiliti
This repository contains iMCP, a macOS app that connects your digital life with AI by working with Claude Desktop and other clients supporting the Model Context Protocol, offering access to
The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
This repository provides an MCP server designed to connect to and manage Kubernetes clusters, leveraging tools like Bun, Docker, and kubectl for seamless integration and operation within your existing Kubernetes environment.
This repository provides an example of a Model Context Protocol (MCP) server for Qdrant, a vector search engine, enabling seamless integration between LLM applications and the Qdrant database as a
ElevenLabs MCP server. Manages model context for optimized AI speech generation. #ElevenLabs #AI #TTS #MCP
This repository provides a Swift SDK for implementing the Model Context Protocol (MCP), enabling developers to build clients and servers that can interact with models and tools. It supports macOS