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AI Workstation Open Source Intelligence MCP Server

by zxhwolfe-dev
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    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

    ActivitySlowing
    ResponsivenessResponsive

    Resources