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fanar-mcp

fanar-mcp

by Blade-Labs
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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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

    A3.7/5.0

    Scored across 12 tools

    Disambiguation4/5

    Each tool targets a distinct modality or task (chat, QA, translation, TTS, STT, image, moderation, poetry), and the deep_research/deep_research_result pair is clearly start-vs-poll. The only mild overlap is fanar_chat vs fanar_islamic_qa, since both answer questions with a language model, though the descriptions do distinguish grounded-citation QA from general chat.

    Naming Consistency4/5

    All tools use a consistent fanar_ snake_case prefix with a predictable verb/noun structure (list_models, validate_quotations, generate_image, deep_research_result). A few names are bare verbs or nouns (chat, translate, transcribe, moderate, poem) rather than verb_noun, but the convention is still readable and uniform.

    Tool Count5/5

    Twelve tools is well-scoped for a multimodal AI API, with one tool per capability and a clean async pair for deep research. No redundant or filler tools appear to pad the count.

    Completeness4/5

    The surface covers the major modalities (chat, QA, quotation validation, research, image, translation, TTS, STT, moderation, poetry) plus model listing and a full start/poll lifecycle for deep research. Minor gaps exist, such as no job cancellation/listing or embedding endpoint, but core workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources