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Related Servers

Alternatives to Nosana MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to price, deploy, pay for, monitor, update, and cancel applications on a decentralized cloud using a generated key pair, with plain-language specs converted into validated network specifications. Also provides container logs, live instance stats, and network or pricing guidance as read-only tools.
      15
      83 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to purchase and use compute resources on Robinhood Chain via x402 payments. Provides tools for thinking, renting GPUs, checking balances, and viewing the compute menu.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides public price indices for GPU rentals (spot, on-demand, DePIN) with verify URLs, enabling agents and users to query and verify compute economics rates.
      5
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for renting real GPUs from the terminal. Enables browsing, renting, chatting, managing, and pooling GPU instances with per-second billing, designed for AI agents.
      76 npm
      1
      -

    TDQS

    A4/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: balance, templates, GPUs, deployment lifecycle, and job artifacts are clearly separated. Even the closely related get_deployment, wait_for_deployment, and get_job_result serve different purposes (status snapshot, blocking wait, and log retrieval) without meaningful overlap.

    Naming Consistency5/5

    All tools follow a consistent verb_noun snake_case pattern, such as get_balance, list_templates, create_deployment, and extend_deployment. The naming is predictable and makes the action and target of each tool immediately obvious.

    Tool Count5/5

    14 tools is a reasonable size for a deployment platform that covers credits, templates, GPU availability, cost estimation, deployment lifecycle, and job results. Each tool represents a distinct capability needed to follow the user's workflow from planning through execution to cleanup.

    Completeness4/5

    The core lifecycle is covered well: estimate, create, wait, poll, stop, start, extend, and fetch results. The main gap is the lack of a delete/remove operation for deployments, so users cannot fully clean up old or unwanted deployments from their account.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues