MCP Clients

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.

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

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

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

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

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

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