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AI Workstation Open Source Intelligence MCP Server

by zxhwolfe-dev
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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

    A3.5/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have distinct purposes, but search_ai_projects and find_alternatives both retrieve candidate projects, and get_radar_overview/Browse_radar_projects overlap in rankings/categories. The descriptions clarify the different intents well enough that an agent can usually disambiguate.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern with clear verbs like search, get, compare, find, compose, and browse. The naming style is uniform and predictable across the entire set.

    Tool Count5/5

    Nine tools is well-scoped for an OSINT-oriented AI project server: discovery, facts, licensing, comparison, alternatives, stack composition, and radar browsing are each represented without unnecessary bloat or obvious missing categories.

    Completeness5/5

    The tool surface covers the full open-source AI project intelligence workflow from searching and browsing to getting evidence-backed facts, license checks, comparisons, alternatives, and stack composition. As a read-only intelligence domain, no create/update/delete lifecycle is expected, and the available tools do not leave dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources