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"Guidance for writing a conclusion for a long text" matching MCP servers:

  • mcp-writing

    hannasdev
    A
    license
    -
    quality
    A
    maintenance
    An 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.
    483
    1
    AGPL 3.0

  • RAG In A Box MCP Server

    DevNexsler
    F
    license
    -
    quality
    B
    maintenance
    Enables 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.
    4

  • MCP Long Context Reader

    yuplin2333
    A
    license
    A
    quality
    D
    maintenance
    MCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.
    5
    5
    MIT

  • Long-Term Memory

    ihwooMil
    A
    license
    -
    quality
    D
    maintenance
    A persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.
    MIT

  • exa-mcp-server-for-operit

    x15907982411
    A
    license
    A
    quality
    A
    maintenance
    An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.
    2
    27,145
    MIT

  • mcp-for-azure-devops-boards

    danielealbano
    A
    license
    B
    quality
    A
    maintenance
    MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.
    24
    6
    MIT

  • Cloudflare MCP Server for

    lennyzeltser
    A
    license
    -
    quality
    D
    maintenance
    Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.
    1
    MIT

  • Document Q&A MCP Server

    SY-MR-CODER
    A
    license
    -
    quality
    D
    maintenance
    A 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

  • Document Q&A MCP Server

    sprchr
    A
    license
    -
    quality
    D
    maintenance
    Enables 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

  • MCP Server for ArangoDB

    ravenwits
    A
    license
    A
    quality
    A
    maintenance
    A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.
    7
    39
    48
    MIT

  • GBrain for BOS

    cynthiajones34
    A
    license
    -
    quality
    -
    maintenance
    This MCP server provides a cost-optimized personal-knowledge brain, enabling AI agents to query imported documents via hybrid search and synthesis at minimal monthly spend.
    472
    MIT

  • MCP Server for Milvus

    zilliztech
    A
    license
    -
    quality
    C
    maintenance
    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.
    240
    Apache 2.0