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Vedant9500

OpenLMlib

by Vedant9500
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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

    B3.1/5.0

    Scored across 76 tools

    Disambiguation1/5

    Multiple tools have nearly identical purposes: search_knowledge, search_findings, retrieve_findings, retrieve_context, search_memory, and query_memory all retrieve knowledge with only subtle differences. Session and message reading also overlap heavily (session_context vs get_session_state, read_messages vs poll_messages vs tail_messages), so agents will frequently select the wrong tool.

    Naming Consistency2/5

    Subsets are internally consistent (save_finding/list_findings, create_session/join_session/leave_session), but the overall set mixes styles: session_start vs start_research, session_end vs end_session, search_findings vs search_knowledge, and help_library vs help_collab. Several tools are single nouns or noun phrases, and get_observations is explicitly deprecated but still exposed.

    Tool Count1/5

    76 tools is far beyond a well-scoped MCP server; even 25+ is considered heavy. The set spans findings, session memory, collaboration, OpenRouter model lookup, templates, analytics, and Co-Scientist workflows, so most tools are tangential to any single task.

    Completeness2/5

    Despite the large surface, there are obvious lifecycle gaps: delete_finding says to 'update instead' but no update_finding tool exists, and save_finding encourages updating duplicates without providing an update path. Artifacts and templates similarly lack update/delete operations, leaving agent workflows with dead ends.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources