MCP Clients

This repository provides a Python-based Model Context Protocol (MCP) client using LangChain, enabling interaction with MCP servers through LangChain ReAct Agent and supporting LLMs from Anthropic, OpenAI, and Groq.

Litemcp simplifies SDK adoption into MCP by providing a lightweight client for integrating AI SDKs like LangChain and Agent SDK, emphasizing simplicity, flexibility, and minimal dependencies. Litemcp simplifies SDK adoption

This repository provides an example client implementation using the Vercel AI SDK and Model Context Protocol SDK to streamline LLM chat interactions within a browser environment, including tool discovery and usage.

**NutriPlan AI** is a meal planning app that combines food image detection, calorie prediction, and personalized meal suggestions. Using TensorFlow for image analysis and Anthropic Claude AI for creat

MCP2SSE Proxy ClaudeAI client

Dream Chronicles is an AI-powered app that interprets dreams by transforming user descriptions into insightful text and audio results. It utilizes Anthropic Claude 3.5 for dream analysis and Google Te

MCP server for connecting to OmniFocus, a MacOS based GTD and task management application. Written with Cline+ClaudeAI, not polished yet, but works on my machine.

OmniXy is a universal Model Context Protocol client in Python, enabling seamless integration with any LLM. It supports structured reasoning, robust prompt management, and adheres to the MCP specification for consistency.

Testing the functionalities of the MCP server of Github with Claude. Everything shown in here (besides this description) is made via natural text in Claude desktop!

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

Description: Memory extension for MemberPress AI Assistant that adds enhanced semantic memory capabilities using the Model Context Protocol (MCP).

This repository provides a client implementation for the Model Context Protocol (MCP) using the OpenAI API, offering real-time communication with MCP servers through a simple interface. This repository provides a

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 FastAPI-based MCP server that provides YouTube video metadata and transcripts as a tool for Cursor and other MCP-compatible clients. Fetches title, description, author, publish date, view count, tag

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