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TextLite MCP Server

TextLite MCP Server

Official
by Mantri-AI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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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

    B3.2/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, and adjacent tools like semantic_similarity, semantic_search, and rerank_passages are differentiated by their inputs and outputs. There is some potential overlap among clustering/topic tools and among compression/summarization variants, but descriptions generally clarify the boundaries.

    Naming Consistency4/5

    Names are consistently snake_case and mostly follow a verb_noun pattern such as extract_keyphrases and deduplicate_texts. A few tools use noun or adjective phrases like semantic_search, server_info, and keyphrases_to_tags, which are minor deviations but still readable.

    Tool Count5/5

    With 14 tools, the server is well-scoped for a text-processing toolkit. Each tool covers a recognizable operation, and the count is within the typical range for a coherent multi-function server.

    Completeness4/5

    The surface covers major text-lite workflows: deduplication, compression, summarization, semantic search/similarity, reranking, keyphrase extraction, topic extraction, and entity assignment. Some utilities such as explicit embedding generation or batch orchestration are absent, but core operations are well represented.

    Resources