Browse and discover Model Context Protocol compatible clients.
Build AI applications in Go with a unified SDK for text generation, structured output, tool integration, and agent management.
Enable AI agents to interact and control Unreal Engine using a precise client protocol for seamless communication and expanded capabilities.
Build smart Raspberry Pi projects using Python with Gemini protocol integration for efficient and lightweight network communication.
Build UEFN Python tools for asset registry, device cataloging, and workflow automation with 355 utility functions
🕒 Explore how to build a .NET MCP server and client to interact with server-side tools and leverage Ollama for dynamic response generation.
A quickstart repo for building a simple MCP weather server that exposes two tools—`get-alerts` and `get-forecast`—to fetch live National Weather Service alerts and forecasts, with step-by-step setup and configuration to plug into Claude for Desktop (or any other MCP client).
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`
Witsy is a desktop AI assistant that supports various LLM providers like OpenAI, Ollama, Anthropic, and more, allowing users to utilize chat completion, vision models, and text-to-image/video generation with their
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
🛠️ Enhance search efficiency with Tool Search MCP, a client-side tool search service that dynamically loads relevant MCP tools for better performance.
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Generate responsive, professional email templates using AI with brand memory, expert design, live preview, and easy editing in MCP-compatible clients.
Description: Memory extension for MemberPress AI Assistant that adds enhanced semantic memory capabilities using the Model Context Protocol (MCP).
Enable AI assistants to fetch, filter, and search RSS feeds instantly using a zero-configuration Model Context Protocol server.
Provide academic paper search and curation across platforms using the Model Context Protocol for seamless multi-client integration.