MCP Clients

🤖 Build engaging AI chat experiences with Ultralytics LLM, a lightweight JavaScript client for web applications, delivered via jsDelivr with zero dependencies.

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

Build production-ready, AI-native MCP servers with NitroStack, a TypeScript framework featuring decorators, dependency injection, and widgets.

Provide a RESTful API gateway that manages authentication and enforces rate limiting for secure and controlled access to services.

A simple Quarkus-based web application that connects to an MCP (Model Context Protocol) server

A Python tool for extracting and matching resumes with job descriptions using NLP. Supports PDF/DOCX, identifies names, education, skills, contacts, and calculates match percentages. Includes Anthropi

Query Aliyun SLS logs in natural language with MCP for Cursor and Claude Desktop; support multi-region, read-only access, and zero-code setup

Track AI-assisted projects in your terminal with a lightweight TUI and CLI.

Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.

Enable AI agents to send, receive, and manage real email autonomously using 27 email tools via Model Context Protocol without signup or API keys.

Enable runtime analysis and control of AI agents with a dynamic process hacking server similar to Process Hacker for enhanced debugging and integration.

Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents

Organize many standalone repos on one machine with a local-first workspace structure, shared caches, and filesystem-based context

Analyze FPL data for captain picks, transfers, chip timing, and league insights with real-time Python MCP tools

Curate and access MCP servers and tools tailored for Korea’s legal, commerce, public data, finance, and real estate sectors.