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trm-mcp

by strongtz
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Python
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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

    B3.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing documents, searching with ranking, exact pattern matching, reading page content, rendering images, and comparing documents. There is no ambiguity about which tool to use for a given task.

    Naming Consistency4/5

    Most tool names are single-word imperative verbs (search, grep, read, render, compare), which is consistent. However, list_documents deviates by using a verb_noun pattern, creating a minor inconsistency.

    Tool Count5/5

    With 6 tools, the server is well-scoped for document retrieval and inspection. Each tool addresses a distinct aspect of the workflow, and the count feels appropriate for the domain.

    Completeness4/5

    The toolset covers listing, searching, grep-style extraction, reading, visual rendering, and comparison, which are the core operations for document analysis. Minor gaps might include a dedicated tool for fetching a single document's metadata, but list_documents already provides this.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources