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Abhinav-Prabhakar

Unstop MCP Server

by Abhinav-Prabhakar
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Python
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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

    B3.3/5.0

    Scored across 5 tools

    Disambiguation4/5

    Most tools have distinct purposes: get_cache_info inspects cache state, get_hackathon_details fetches a single hackathon, refresh_cache updates the cache, and search_hackathons searches with filters. However, search_hackathons and search_hackathons_by_location could cause some confusion as both search hackathons, though the latter is location-specific.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., get_cache_info, search_hackathons, refresh_cache). The naming is uniform and predictable, making it easy for an agent to understand the action and target.

    Tool Count5/5

    With 5 tools, the server is well-scoped for managing hackathon data and cache operations. Each tool serves a clear purpose without being overly sparse or bloated, fitting typical MCP server ranges.

    Completeness4/5

    The tools cover core operations for hackathon data (search, get details) and cache management (info, refresh), but there are minor gaps such as no explicit tool for creating or updating hackathon data, which might be outside the server's read-only scope. Overall, it supports common workflows effectively.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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