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fortunto2

solograph

by fortunto2
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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

    A3.9/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct resource and operation: codegraph stats/query/explain/repomap/shared, source list/search/tags/related, kb_search vs project_code_search vs session_search clearly separated by domain, project_info, web_fetch, and project_code_reindex. No two tools appear to do the same thing.

    Naming Consistency4/5

    Most tools follow a clear prefix_descriptive pattern (codegraph_, source_, kb_, session_, project_, web_) with snake_case. Some descriptors are nouns or adjectives (repomap, shared, tags, related) rather than verbs, but the pattern is predictable and uniform in style.

    Tool Count5/5

    15 tools is well within the optimal range for a server with this scope. Each tool serves a distinct purpose, covering stats, search, querying, and metadata across multiple knowledge domains without unnecessary bloat or missing essentials.

    Completeness4/5

    The server covers core read and query operations for code graphs, knowledge bases, sessions, external sources, and project metadata. It includes reindexing for code search, but lacks explicit create/update/delete operations—appropriate for a read-oriented server. Minor gaps exist (e.g., no direct session listing), but agents can work around them via search and query tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources