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A PDF-to-Markdown converter built with the Model-View-Controller (MVC) pattern using the Model Context Protocol (MCP).

MCP Poisoning Poc

This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.

MCP Portuguese Legal Extractor

MCP server for extracting metadata from Portuguese legal documents using advanced PDF processing and database architecture

Enables semantic search across multiple knowledge datasets using FAISS vector embeddings, allowing natural language queries to find relevant documents with fast retrieval.

MCP Pro

Package all your MCP servers into a single Remote MCP Gateway for one click installations, MCP analytics, creating/sharing MCP packages, and more...

Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.

MCP Project 09652828

实现mcp客户端及服务器，用于接入私有和公有的servers，创建多功能的agent

一个基于Gmail和LiveKit的个人知识助手，可通过语音与通讯互动，支持提问、摘要和笔记功能，文章内容存储在SQLite和ChromaDB中用于语义搜索。

Enables users to manage projects and retrieve random wallpapers through a TypeScript-based MCP server. Supports project queries, creation, and Bing wallpaper retrieval with Spring Boot-style architecture.

MCP Projects 9cec365a

My Projects Repo for MCP (Model Context Protocol)

MCP Ptna News

MCP Server for PTNA news feeds

A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.

An MCP server for the comprehensive analysis of Swagger 2.0 and OpenAPI 3.x contracts. It allows users to extract detailed information about endpoints, request/response schemas, parameters, and security configurations from API documentation.

MCP Quanmiao Hotnews

全妙新闻播报MCP Server 是一个基于阿里云百炼API的新闻聚合服务，专注于实时获取热点新闻资讯。

A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.

An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.

This MCP server enables intelligent API testing automation by combining RAG knowledge retrieval with tool execution capabilities. It allows QA engineers to perform natural language-driven API testing with contextual knowledge support.

A local RAG server that enables document indexing and sentence window retrieval across multiple file formats like PDF, MD, and DOCX. It supports both local Hugging Face models and OpenAI embeddings for efficient context-aware querying through the Model Context Protocol.

Enables AI assistants to search and retrieve information from your knowledge base using RAG (Retrieval-Augmented Generation) with hybrid search, document indexing, and ChromaDB vector storage.

Implements Retrieval-Augmented Generation (RAG) using GroundX and OpenAI, allowing users to ingest documents and perform semantic searches with advanced context handling through Modern Context Processing (MCP).