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HiveFlow MCP Server

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by hiveflowai
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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

    B3.4/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a distinct purpose with clear boundaries: create_flow vs. get_flow vs. list_flows for flow management, create_mcp_server vs. list_mcp_servers for server registration, and execute_flow vs. pause_flow vs. resume_flow for flow execution control. No overlap or ambiguity exists between tools.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern (e.g., create_flow, list_flows, pause_flow) using snake_case throughout. The naming is predictable and readable, with no deviations in style or convention.

    Tool Count5/5

    With 9 tools, the server is well-scoped for managing workflows and MCP servers in HiveFlow. Each tool serves a clear function, and the count is neither too sparse nor bloated, fitting typical expectations for a domain-specific server.

    Completeness4/5

    The toolset covers core CRUD and lifecycle operations for flows (create, get, list, execute, pause, resume) and MCP servers (create, list), with get_flow_executions providing execution history. A minor gap exists in updating or deleting flows/servers, but agents can work around this for most workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources