Skip to main content
Glama

Server Details

Rent EU cloud GPUs per minute: pick a card by VRAM and price, launch, get SSH, stop.

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
ChatGPT
–
Claude
–

TDQS

A4/5.0

Scored across 7 tools

Disambiguation5/5

Each tool targets a distinct resource and action: account info, single-server detail, server list, GPU-model summary, concrete offers, launch, and stop. The closest pair (list_gpu_types vs list_offers) is clearly separated by 'one row per GPU model' versus 'concrete machines of one GPU model', and list_servers vs get_server differ by collection versus single item. No plausible misselection.

Naming Consistency5/5

All seven tools follow a strict snake_case verb_noun pattern (get_*, list_*, launch_server, stop_server). Verbs are used consistently for the same kind of operation across resources.

Tool Count5/5

Seven tools is well-scoped for a GPU rental service: discovery (GPU types, offers), lifecycle (launch, stop), and inspection (account, servers, server). Every tool earns its place with no filler.

Completeness4/5

Core lifecycle is covered end-to-end: browse GPU types, pick an offer, launch, monitor, stop with workspace save. Minor gaps exist — get_account reports whether an SSH key is set but there is no tool to set it, and there is no way to delete a server or view cost/history beyond the current listing.

Publisher details

Operator
VRAMfarm · Publisher source
Vendor relationship
First-party · Publisher source
Trust center
Not available
Restrictions
Needs a VRAMfarm account and an API token; servers are paid per minute from a prepaid balance (top-up first). Listing and tool discovery work without a token. · Publisher source

Available Tools

7 tools
get_accountBalance and accountB
Read-only
Inspect

Balance in EUR, how long it lasts at the current spend, whether an SSH key is set, and limits.

Inputs: no named parameters.

get_serverServer status and accessA
Read-only
Inspect

One server: status (provisioning, running, stopped), what it is doing now, cost so far, and once running the access: SSH command, Jupyter link with token, app URL.

Inputs: id (required).

launch_serverLaunch a GPU serverAInspect

Rents a GPU machine and starts a template or a Docker image on it. Costs money from the prepaid balance, billed per minute while running (minimum 15 minutes). Returns at once with the server id; the server is ready in 2–5 minutes (8–15 with a custom image). Refuses machines priced above max_eur_per_hour.

Inputs: gpu (required), max_eur_per_hour (required), cmd, disk, +5 more.

list_gpu_typesGPU types and pricesA
Read-only
Inspect

One row per GPU model and card count: the cheapest reliable machine, its price in EUR per hour, VRAM per card and how many are available. Start here to choose a GPU.

Inputs: no named parameters.

list_offersAvailable machinesA
Read-only
Inspect

Concrete machines of one GPU model, cheapest first (up to 10), with country, CUDA, disk, network and price. Use the id as offer_id in launch_server to pick an exact machine.

Inputs: gpu (required), count.

list_serversMy serversB
Read-only
Inspect

Your servers, newest first: running, starting and stopped in the last 7 days, with status, price and access.

Inputs: status.

stop_serverStop a serverA
DestructiveIdempotent
Inspect

Stops a server and its billing. The disk is wiped; with save_workspace true the /workspace folder is saved first (storage is billed per GB-month) and comes back on the next launch.

Inputs: id (required), save_workspace.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Related MCP Connectors

    Related MCP Servers

    • F
      license
      Not graded
      quality
      C
      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.
      82 npm
      1
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables an AI agent to check live GPU prices, get a cost quote, rent a per-minute GPU instance, upload code and data, run jobs in the background, tail logs, download results and destroy the instance to stop billing. Includes guardrail limits on spend, hours and idle time, safe file transfer, and access to an OpenAI-compatible model API for inference without renting a GPU.
      1,341 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search live GPU offers, estimate model VRAM, rent and monitor cloud GPU servers with ready templates, read logs, and stop or destroy them when done. Browsing and VRAM estimates work without an API key, while server management requires one.
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to describe an LLM fine-tuning job once and receive the cheapest, fastest, or most balanced GPU hardware options across a dozen cloud providers by calculating required VRAM/FLOPs and aggregating live pricing.
      -
    Try in Browser

    Glama MCP Gateway

    Add one secure layer between your agents and this server.

    Resources