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maintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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"A guide to writing a paper for an SCI-indexed journal" matching MCP servers:
- FlicenseNot gradedqualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- FlicenseAqualityDmaintenanceAn MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.5
- AlicenseNot gradedqualityAmaintenanceAn MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.4831AGPL 3.0
- AlicenseBqualityAmaintenanceYour AI's research copilot. Searches 6 academic databases, downloads real PDFs, reads them cover to cover, extracts evidence, renders figures, syncs to Zotero.169MIT
- AlicenseBqualityDmaintenanceAn MCP server for searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, and Sci-Hub, designed for seamless integration with large language models like Claude Desktop.795572,461MIT
- AlicenseNot gradedqualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- AlicenseNot gradedqualityCmaintenanceA local MCP server for intelligent PDF management that converts papers to markdown and enables hybrid grep and semantic search, allowing token-efficient exploration of academic documents.6MIT
- FlicenseNot gradedqualityDmaintenanceImproves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.
- AlicenseNot gradedqualityNot gradedmaintenanceProvides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
- AlicenseNot gradedqualityDmaintenanceA Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.MIT
- AlicenseNot gradedqualityDmaintenanceEnables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.MIT
- FlicenseNot gradedqualityCmaintenanceEnables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
- AlicenseAqualityCmaintenanceConverts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.327Apache 2.0
- AlicenseAqualityBmaintenanceEnables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.4MIT
- AlicenseDqualityCmaintenanceA tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.315047MIT
- AlicenseNot gradedqualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- AlicenseNot gradedqualityAmaintenanceA local-first paper RAG server that enables searching and managing academic PDFs via MCP tools, supporting metadata enrichment and citation graphs.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.1MIT
- AlicenseNot gradedqualityDmaintenanceA guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.9MIT