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egoughnour

Massive Context MCP

by egoughnour
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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

    A3.8/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have distinct purposes (load, inspect, filter, chunk, analyze). However, the two setup tools (rlm_setup_ollama and rlm_setup_ollama_direct) are very similar and could confuse an agent, and auto_analyze overlaps somewhat with sub_query in using LLMs.

    Naming Consistency5/5

    All tools follow a consistent 'rlm_verb_noun' pattern in snake_case. Verbs are descriptive and uniform (load, inspect, list, filter, chunk, get, store, etc.), with no mixing of conventions.

    Tool Count5/5

    17 tools is well-scoped for managing large contexts, chunking, analysis, and system integration. Each tool serves a clear role; the count is not excessive nor too sparse.

    Completeness4/5

    Covers the majority of expected operations: loading, inspecting, filtering, chunking, analyzing, storing results, and system checks. Missing an explicit way to delete or combine contexts, but core workflows are covered.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

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