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Arize-ai

Text-to-GraphQL MCP Server

by Arize-ai
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Python
Hybrid

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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

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: execute queries, generate from natural language, retrieve examples, view history, and validate. No overlap or ambiguity.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case, e.g., 'execute_graphql_query', 'generate_graphql_query'. No mixing of conventions.

    Tool Count5/5

    Five tools cover the core operations for GraphQL query management (generate, validate, execute, retrieve history and examples) without being excessive or insufficient.

    Completeness5/5

    The tool surface provides a complete workflow: natural language generation, validation, execution, history tracking, and example discovery. No obvious gaps in the stated domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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