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Pulse-Intelligence

Pulse Workflow MCP Server

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by Pulse-Intelligence
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Python
Remote

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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

    C2.7/5.0

    Scored across 36 tools

    Disambiguation5/5

    Each tool targets a distinct action or resource (nodes, notes, apps, workflows, datasets, agent strategies, etc.). No overlaps or ambiguous boundaries; even batch_add_nodes is clearly a bulk variant of add_node.

    Naming Consistency5/5

    All tools use consistent verb_noun snake_case naming (e.g., add_node, list_nodes, get_node_schema, batch_add_nodes). No mixing of conventions like camelCase or different verb styles.

    Tool Count2/5

    With 36 tools, this far exceeds the typical well-scoped range of 3-15. While the server covers a broad domain, the number of tools feels heavy and could overwhelm agents.

    Completeness4/5

    The tool set covers CRUD for nodes and notes, plus workflow lifecycle (initialize, validate, publish), and supporting functions (schemas, testing, search). Minor gaps: missing delete for apps and workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources