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LianXia233

mcp-agent-hub

by LianXia233

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      Enables coding agents in different editors and MCP clients to share messages, project context, notes, task ownership, handoffs, and advisory file claims through a local SQLite-backed coordination server. Supports MCP stdio, MCP Streamable HTTP, a JSON HTTP API, and a local CLI for multi-project agent collaboration.
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      Enables agents and users to collaborate across rooms with shared tasks, messages, blackboards, documents, search, plugin registration, visualizations, OAuth helpers, and quantum-circuit simulation plus collaborative model training. It runs over STDIO by default, with optional HTTP/SSE deployment for container-based hosting.
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    • A
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      Enables coding-agent sessions on the same machine to collaborate locally and durably by exchanging requests, replies, and task results through an authenticated loopback server with SQLite-backed storage, joined via CLI or an MCP stdio bridge. It also handles message delivery by priority and wait time, deduplicates idempotent sends, enforces task versioning, and preserves artifacts by content hash.
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    • A
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    TDQS

    C2.9/5.0

    Scored across 27 tools

    Disambiguation3/5

    Most tools target distinct resources, but several boundaries overlap: broadcast vs send_message with '*', team_status vs list_agents vs hub_stats, and report_progress vs update_task vs complete_task vs escalate. The descriptions help clarify intended use, but an agent could still misselect among these related coordination tools.

    Naming Consistency4/5

    Tool names consistently use snake_case and are mostly readable verb_noun patterns such as create_room, dispatch_task, send_message, and complete_task. A few names are noun-only or phrase-like (whoami, team_status, hub_stats, my_assignments), which is a minor deviation rather than a structural inconsistency.

    Tool Count2/5

    At 27 tools, the surface is heavy for a single MCP server and exceeds the typical 3-15 well-scoped range. Some tools are convenience wrappers or overlapping views that could be consolidated, especially broadcast/send_message and team_status/list_agents/hub_stats.

    Completeness4/5

    The server covers the core multi-agent lifecycle: rooms, shared memory, agent identity, tasks, messaging, escalation, and stats. Minor gaps remain, such as leaving/deleting rooms, deregistering agents, or fetching a single task by ID, but agents can mostly work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues