Browse and discover Model Context Protocol compatible clients.
Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.
Provide academic paper search and curation across platforms using the Model Context Protocol for seamless multi-client integration.
Enable AI assistants to fetch, filter, and search RSS feeds instantly using a zero-configuration Model Context Protocol server.
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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
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
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`
🕒 Explore how to build a .NET MCP server and client to interact with server-side tools and leverage Ollama for dynamic response generation.
Build smart Raspberry Pi projects using Python with Gemini protocol integration for efficient and lightweight network communication.
Enable AI agents to interact and control Unreal Engine using a precise client protocol for seamless communication and expanded capabilities.
Explore tips, prompt templates, and code snippets to improve your use of Claude AI with this community-curated resource.
🛠️ Connect AI agents to expert skills with Vectis, a powerful Model Context Protocol server for seamless search and execution of specialized blueprints.
Created a GenAI tool that helps users craft tailored resumes based on uploaded job descriptions and experience. Used Anthropic’s Claude for resume generation and Pinecone for skill-matching recommend
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
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