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Alternatives to Amadeus-QQ-MCP

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    Related Servers

    • A
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      quality
      D
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      A MCP server that exposes QQ bot capabilities over Streamable HTTP, enabling clients to query bot status, read group and friend info, fetch chat history, and send group/private text messages.
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      QQ MCP Server with Auto-Wake, message send/receive, group management, file sharing, and timed tasks. Connects via NapCatQQ (OneBot v11). One-click setup with quickstart.ps1.Based on Amadeus-QQ-MCP.
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      Enables AI agents to control and monitor QQ accounts through the NapCatQQ OneBot 11 protocol, covering private/group messaging, forwards, group administration, file transfer, OCR, friend and profile management, and real-time message listening. It also handles QR-code login, hot-switching between multiple QQ accounts, and one-click self-check, deployment, and updates.
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      A WeChat robot server based on the Model Context Protocol that enables AI agents to send and receive messages and manage typing status. It provides tools for QR code login, long-polling message retrieval, and persistent state management across various MCP clients.
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      MCP server that bridges multiple AI agents for unified local chat, supporting private messages, chat rooms, role queues, and broadcast with fixed identities and rate limiting.
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    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity: batch_get_recent_context handles multiple targets efficiently, get_recent_context retrieves single-target context, compress_context summarizes and archives, send_message and send_image handle different message types, check_status monitors connectivity, and get_group_list lists groups. The descriptions clearly differentiate overlapping concepts like batch vs single queries and compression vs raw retrieval.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case throughout: batch_get_recent_context, check_status, compress_context, get_group_list, get_recent_context, send_image, and send_message. The naming is predictable and readable, making it easy for agents to understand each tool's function from its name alone.

    Tool Count5/5

    With 7 tools, this server is well-scoped for QQ/OneBot messaging operations. Each tool earns its place by covering essential functions: status checking, group listing, context retrieval (single and batch), context compression, and message sending (text and image). This count avoids both thin coverage and feature bloat for the domain.

    Completeness4/5

    The tool surface provides excellent coverage for core QQ messaging workflows: status monitoring, group discovery, context retrieval/management, and message sending. A minor gap exists in message management (e.g., deleting or editing sent messages), but agents can work effectively with the provided tools for typical bot operations without encountering dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive