Skip to main content
Glama
tobocop2

lilbee

by tobocop2
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to lilbee

  • knowledge-rag

    lyonzin
    A
    license
    A
    quality
    A
    maintenance
    Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
    13
    291
    MIT

  • local-Rag

    zongzi-zongzhi
    A
    license
    A
    quality
    D
    maintenance
    A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
    7
    MIT

Related Servers

  • rag-mcp

    Kamalesh-Kavin
    F
    license
    A
    quality
    D
    maintenance
    Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
    4
    -

  • bigos

    FPGArtktic
    A
    license
    Not graded
    quality
    C
    maintenance
    Enables fully local, cross-lingual retrieval over documents and source code by indexing files and providing search and ingest tools, with all data staying on the machine.
    GPL 2.0

  • Folio

    Shahrukh19S
    A
    license
    A
    quality
    D
    maintenance
    A privacy-first, zero-cost AI assistant that lets you chat with your documents locally via CLI or web app, supporting search, summarization, and Q&A using your own model.
    7
    MIT

  • Synorive

    arturoaeriform174
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables private, offline semantic search across local files (documents, images, videos) using OCR and vector search, and optionally performs web research with cited sources.
    AGPL 3.0
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

B3.4/5.0

Scored across 29 tools

Disambiguation3/5

Most tools are distinct, but several overlap semantically: status/wiki_status/crawl_status all report state, reset/wiki_wipe/settings_reset/clear_placement all delete or reset something, and catalog_browse/model_show both touch the model catalog. Descriptions help, but generic names like reset, add, sync, and status increase the chance an agent picks the wrong one.

Naming Consistency4/5

The set mostly follows snake_case verb_noun naming, e.g. list_documents, set_placement, model_pull. However, verb placement is inconsistent (get_gpus vs settings_get, model_rm vs model_pull) and several single-word tools (reset, sync, add, init, crawl) break the pattern. Still, the overall style is predictable and readable.

Tool Count2/5

29 tools exceeds the 25-tool threshold and feels heavy even though the server covers multiple subdomains (indexing, crawling, wiki, models, settings, GPU placement). Several tools could be consolidated, such as the various status/get commands. The breadth is real, but the count is still too high for easy agent navigation.

Completeness4/5

The tool surface covers the main lifecycles well: document add/sync/remove/list/export/import/search, crawl start/status/cancel, model list/show/pull/remove, settings CRUD, and placement get/preview/set/clear. The wiki layer is thin with only status and wipe, and there is no explicit wiki generation or document update tool, but these are minor gaps rather than blocking dead ends.

Maintenance

ActivityActive
ResponsivenessResponsive

Resources