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AnythingLLM MCP Server

by andreperez
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Python
Hybrid

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    • anythingllm-mcp

      moliver28
      F
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    • MSIM

      giancbaring
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      Enables AnythingLLM to be controlled by any MCP-compatible client via HTTP, SSE, or WebSocket, with automatic workspace selection and background operation.
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    • anythingllm-mcp

      DezGDNY
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      Enables AI assistants to search and ask questions about documents stored in AnythingLLM workspaces through MCP tools.
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    • anythingllm-mcp

      jbowensii
      A
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      quality
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      Enables async chat with AnythingLLM workspaces so slow local-model answers never trip the ~60s MCP tool-call timeout, plus full workspace management (list, get, create, update, delete), document listing, and embedding updates over the AnythingLLM REST API.
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    • aigc-lite

      dooven-prime
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 34 tools

    Disambiguation5/5

    Every tool targets a distinct resource and action. Upload variants differ by input source (file, link, raw text, folder), chat tools differ by thread versus workspace, and list_documents vs list_documents_in_folder are clearly scoped. No two tools appear to do the same thing.

    Naming Consistency5/5

    All tool names follow a consistent 'anythingllm_verb_noun' pattern using lower_snake_case. Examples include list_workspaces, create_thread, upload_file, get_vector_count, and remove_documents. The prefix and verb ordering are uniform, making the toolset predictable.

    Tool Count2/5

    34 tools is well above the rubric's 'too many' threshold of 25. While the server covers a wide range of application features, the sheer volume could overwhelm agents and suggests the surface is not tightly scoped. Many system/settings/export tools could potentially be consolidated.

    Completeness5/5

    The toolset provides comprehensive lifecycle coverage for workspaces, threads, documents, folders, embeddings, and chat. It includes auth validation, upload variants, pinning, search, vector counts, export, and embed listing—leaving no obvious gaps in the core AnythingLLM workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources