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Alternatives to Mullet

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    Related Servers

    • A
      license
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      quality
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      9 npm
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    • F
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      quality
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      Exposes an MCP server that pools free LLM provider routes behind one OpenAI-compatible endpoint, enabling chat and coding-agent requests with automatic failover, model/route discovery, and keyless start when available. It can begin serving without credentials whenever an enabled keyless route is up.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Publishes an MCP server that pools many free LLM providers — including keyless routes — behind one local OpenAI-compatible endpoint, letting coding agents and compatible clients discover, route to, and fail over across available chat models. It also exposes tools for status, model inventory, and capacity/health inspection.
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    • A
      license
      A
      quality
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      maintenance
      One MCP that turns Claude Code into your whole dev stack by swallowing other MCP servers, delegating to Codex & Gemini on your CLI subscriptions, remembering projects in a searchable knowledge graph, and carrying setup across sessions — secret-free by design.
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    TDQS

    C2.8/5.0

    Scored across 53 tools

    Disambiguation2/5

    Several tools have overlapping search and memory purposes: mullet_search, trawl_search, trawl_search_pool, trawl_search_multi, trawl_summarize, mullet_remember, and trawl_memory_* all compete for similar retrieval/storage intents. Execution tools also blur together: mullet_run, mullet_opencode, mullet_delegate, mullet_swarm, and trawl_run_agent all perform routed LLM work with subtle boundary distinctions that an agent must parse carefully.

    Naming Consistency3/5

    The mullet_ and trawl_ prefixes provide a useful top-level grouping, and all names are snake_case. However, within trawl the convention is mixed: some tools use action_resource order (trawl_search_entities, trawl_get_pool, trawl_load_pool) while others use resource_action order (trawl_agents_list, trawl_pool_delete, trawl_memory_store, trawl_workflow_create).

    Tool Count2/5

    At 53 tools, the surface is very large and heavy for a single server, spanning orchestration, search, ingestion, graph operations, memory, workflows, agents, prompts, and docs. While these are related platform capabilities, the count far exceeds a well-scoped set and increases selection burden.

    Completeness3/5

    The surface covers many lifecycle operations, including memory store/search/list/delete, workflow create/list/status/update, pool management, ingestion, graph build/stats/export, agents, prompts, and docs lookup. But there are notable gaps such as no clear entity or relationship update/delete beyond graph pruning, no task cancellation or explicit active-task listing, and limited update/delete coverage for prompts and agents.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues