A comprehensive MCP server that provides intelligent access to Perplexity AI's search and reasoning models with automatic model selection, conversation management, and project-aware storage. Supports real-time search, deep research, chat sessions, and async operations for complex queries.
Enables searching and retrieving high-quality stock photos from Pexels with advanced filtering options including orientation, size, color, and localization support.
This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.
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.
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.
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
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.
My Projects Repo for MCP (Model Context Protocol)
Why MCPProxy?\\n- Scale beyond API limits – Federate hundreds of MCP servers while bypassing Cursor's 40-tool limit and OpenAI's 128-function cap.\\n- Advanced security protection – Automatic quarantine blocks Tool Poisoning Attacks until you manually approve new servers.\\n\\nDocs - https://mcpproxy.app\\n
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.
全面解析Qdrant With OpenAI EmbeddingsMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Qdrant With OpenAI Embeddings能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
命令预览
pip install -r requirements.txt
全面解析Qdrant Vector DatabaseMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Qdrant Vector Database能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
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.
RAG system that utilize MCP server
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.
