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MCP Server for PTNA news feeds
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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.
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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。
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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.
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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.
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RAG system that utilize MCP server
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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.
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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.
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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.
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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).
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Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.
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MC
Enables direct integration with Zentao bug tracking systems through Cursor. Supports authentication, bug retrieval, searching, and listing operations for comprehensive bug management through natural language.
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MCP server for reading JSON knowledge bases without modifications
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A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.
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Tellix is a conversational recon interface powered by httpx and LLMs. Just ask.
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MCP server for verifying academic citations via Semantic Scholar, OpenAlex, and CrossRef.
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This is a test repository created by test script of MCP Server for GitHub
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Enables searching and retrieving academic papers from arXiv by topic, allowing users to discover research papers and extract their metadata including titles, authors, abstracts, and PDF links through natural language queries.
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A Model Context Protocol server that provides tools for searching arXiv papers and managing research paper information with local storage capabilities.
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An attempt to create an MCP server so I can learn more about it