MCP Clients

Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.

Turn AI browser actions into polished demo GIFs and MP4s with click, keystroke, zoom, and pan capture

Provide structured LinkedIn data by searching profiles, companies, and jobs through an MCP server with granular scraping support.

Manage and simulate user interactions in modern web apps to improve testing accuracy and reliability with UserDispatch MCP.

Provide a fast, easy-to-use REST API gateway with high performance and zero dependencies for modern application development.

Turn PRDs into Linear issues and Trello boards with AI, then export tasks, phases, and checklists in one click

Generate AI images from the terminal using a CLI, interactive TUI, and server powered by the Pixelmuse API.

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Connect AI agents to financial markets using a universal trading interface with an open standard for seamless integration.

Build Adaptive Cards with MCP tools for fast, structured UI creation in TypeScript

A Python-based AI tool that optimizes resumes using multiple AI providers (Mistral, OpenAI, Anthropic, DeepSeek). It provides both a CLI interface and a Flask-based RESTful API to enhance resume conte

Provide secure RESTful API access with authentication and rate limiting to control traffic and protect backend services.

Enable AI chatbots to query and analyze data.gouv.fr datasets through natural language on the French national Open Data platform.

This repository provides the `MCPServerManager` class for managing multiple MCP server instances, including lifecycle, connection management, and automatic tool discovery, using a JSON configuration file. This repository provides the `MCPServerManager`

Provide academic paper search and curation across platforms using the Model Context Protocol for seamless multi-client integration.