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Sportmonks MCP Server

by ferasbbm
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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

    B3/5.0

    Scored across 171 tools

    Disambiguation5/5

    Each tool name clearly indicates the entity and action (e.g., get_all_fixtures, get_fixture_by_id, search_players_by_name). There is no ambiguity between similar tools because they are distinguished by parameters like date range, team, or entity type.

    Naming Consistency5/5

    All tool names follow a consistent pattern: 'get_all_<plural>' for lists, 'get_<singular>_by_id' for single entities, 'get_<entity>_by_<filter>' for filtered queries, and 'search_<entity>_by_name' for searches. Lowercase snake_case is used uniformly.

    Tool Count1/5

    With 171 tools, the count is extremely high. Even for a broad sports data API, this number exceeds typical scopes and can overwhelm an LLM agent. Many tools could be consolidated (e.g., using filters instead of separate endpoints).

    Completeness4/5

    The toolset covers a wide range of sports data entities (fixtures, odds, teams, players, leagues, seasons, transfers, etc.) and includes search, odds, and statistics. Minor gaps exist (e.g., no player statistics per season, no write operations), but overall it is comprehensive for a read-only sports data API.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources