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DreamingAI MCP Server

by shivanshu814
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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

    A3.7/5.0

    Scored across 23 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action, with clear separation between prompts, conversations, agents, models, and plugins. No two tools appear to perform the same operation, and even similar verbs like 'list' and 'get' are differentiated by whether they return all items or a single item.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, with verbs like get, list, create, update, delete, send, switch, install, activate, deactivate, and uninstall. The pattern is uniform across all five domains, making the API predictable and easy to navigate.

    Tool Count4/5

    With 23 tools, the server is slightly above the typical 3-15 tool range, but this is justified by the breadth of functionality covering prompts, conversations, agents, models, and plugins. Each tool corresponds to a meaningful operation, and the count feels appropriate for the comprehensive scope.

    Completeness5/5

    The tool surface provides complete CRUD and lifecycle coverage for prompts, agents, and plugins, plus conversation management including history and messaging, and model listing/selection. There are no obvious dead ends; all core workflows for managing an AI platform are represented.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources