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FastGPU

R0· no sign-in

Compare live GPU cloud rental prices and match workloads to the cheapest provider.

v1.0.1 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality75good
Trust80of 100
Uptime, 30 days100%
Latency p50584 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "fastgpu": {
      "type": "http",
      "url": "https://fastgpu.co/api/mcp"
    }
  }
}
claude mcp add --transport http fastgpu https://fastgpu.co/api/mcp
[mcp_servers.fastgpu]
url = "https://fastgpu.co/api/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fastgpu": {
      "type": "remote",
      "url": "https://fastgpu.co/api/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "fastgpu": {
      "type": "http",
      "url": "https://fastgpu.co/api/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=fastgpu&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZmFzdGdwdS5jby9hcGkvbWNwIn0%3D"
}
{
  "servers": {
    "fastgpu": {
      "type": "http",
      "url": "https://fastgpu.co/api/mcp"
    }
  }
}
{
  "mcpServers": {
    "fastgpu": {
      "httpUrl": "https://fastgpu.co/api/mcp"
    }
  }
}
extensions:
  "fastgpu":
    enabled: true
    name: "fastgpu"
    type: streamable_http
    uri: "https://fastgpu.co/api/mcp"
    timeout: 300

Quality 75 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene100 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations2 of 2 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 1,403 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability25 · weight 15
  • warn
    stability.changes10 tool changes in 30 days
  • fail
    stability.rug_pull1 tools kept their name but changed most of their description in 30 days; review before trusting them
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 1,403 tokens to load them all · tool set 77773f4922c0 · tools last changed 2026-10-18 · checked 2026-10-19 10:52 UTC

Tool changes

  • match_workloadchangeddescription
    before

    Describe a job (an open-weight model to serve or fine-tune, a model size, or a GPU need) and get up to eight ranked GPU configurations that can run it at the lowest live price, each with the GPU count, the effective USD per hour for the whole configuration, and a one-line reason; the result also states the VRAM the job needs and, when a hyperscaler can run the same job, which one and what percent cheaper the top match is. Use it when the user asks where to run a workload or which GPU they need, rather than the price of a named GPU. It sizes open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Results mirror FastGPU's website and apply a small, disclosed tie-break toward providers that pay FastGPU a referral, only between otherwise equal offers (each match reports partner true/false). Optional hard limits (budget_usd_hr, max_total_usd with duration_hours, max_quote_age_minutes) leave out every configuration that breaks them, and limits reports what was applied and how many were left out. page_url links to the GPU's live price page. It does not rent, reserve or launch GPUs. No key required.

    after · 69% of words in common

    Ranks up to eight GPU configurations that can run a job at the lowest live price. Describe the job in query (an open-weight model to serve or fine-tune, a model size, or a GPU need) or with the structured fields. Each match gives the GPU count, the USD per hour for the whole configuration and a one-line reason; the answer also states the VRAM the job needs and how much cheaper the top match is than a hyperscaler running the same job. Use it to decide where to run a workload; use list_gpu_prices for the price of a named GPU. Open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Between otherwise equal offers, a small disclosed tie-break favors providers that pay FastGPU a referral (each match reports partner). Hard limits (budget_usd_hr, max_total_usd with duration_hours, max_quote_age_minutes) drop every configuration that breaks them; limits reports what was dropped. Read-only: it does not rent or launch GPUs. No key required.

  • list_gpu_priceschangedinput schema
  • match_workloadchangedinput schema
  • match_workloadchangeddescription, input schema, output schema, annotations
    before

    Describe a job (an open-weight model to serve or fine-tune, a model size, or a GPU need) and get up to eight ranked GPU configurations that can run it at the lowest live price, each with the GPU count, the effective USD per hour for the whole configuration, and a one-line reason; the result also states the VRAM the job needs and, when a hyperscaler can run the same job, which one and what percent cheaper the top match is. Use it when the user asks where to run a workload or which GPU they need, rather than the price of a named GPU. It sizes open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Results mirror FastGPU's website and apply a small, disclosed tie-break toward providers that pay FastGPU a referral, only between otherwise equal offers (each match reports partner true/false). page_url links to the GPU's live price page. It does not rent, reserve or launch GPUs. No key required.

    after · 83% of words in common

    Describe a job (an open-weight model to serve or fine-tune, a model size, or a GPU need) and get up to eight ranked GPU configurations that can run it at the lowest live price, each with the GPU count, the effective USD per hour for the whole configuration, and a one-line reason; the result also states the VRAM the job needs and, when a hyperscaler can run the same job, which one and what percent cheaper the top match is. Use it when the user asks where to run a workload or which GPU they need, rather than the price of a named GPU. It sizes open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Results mirror FastGPU's website and apply a small, disclosed tie-break toward providers that pay FastGPU a referral, only between otherwise equal offers (each match reports partner true/false). Optional hard limits (budget_usd_hr, max_total_usd with duration_hours, max_quote_age_minutes) leave out every configuration that breaks them, and limits reports what was applied and how many were left out. page_url links to the GPU's live price page. It does not rent, reserve or launch GPUs. No key required.

  • list_gpu_priceschangedannotations
  • match_workloadchangedinput schema, output schema
  • match_workloadchangeddescription, output schema, annotationsmeaning changed
    before

    The routing DECISION: describe a job (a model, size, or GPU need) and get the ranked, reasoned recommendation for the cheapest place to run it across the live market, with the required VRAM, GPU count, effective $/hr, and how much cheaper it is than a hyperscaler. No key required. Results mirror the site and apply a small, disclosed partner tie-break between otherwise-equal offers (each match reports partner true/false).

    after · 36% of words in common

    Describe a job (an open-weight model to serve or fine-tune, a model size, or a GPU need) and get up to eight ranked GPU configurations that can run it at the lowest live price, each with the GPU count, the effective USD per hour for the whole configuration, and a one-line reason; the result also states the VRAM the job needs and, when a hyperscaler can run the same job, which one and what percent cheaper the top match is. Use it when the user asks where to run a workload or which GPU they need, rather than the price of a named GPU. It sizes open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Results mirror FastGPU's website and apply a small, disclosed tie-break toward providers that pay FastGPU a referral, only between otherwise equal offers (each match reports partner true/false). page_url links to the GPU's live price page. It does not rent, reserve or launch GPUs. No key required.

  • list_gpu_priceschangeddescription, output schema, annotations
    before

    One entry per GPU model with the current cheapest live rental price across the whole market (RunPod, Vast.ai, Lambda, hyperscalers and more). No key required. Use this to compare GPU prices. Each price is the provider's own per-GPU rate: cheapest_min_gpu_count says when it is only sold as a multi-GPU instance, and cheapest_billed_separately names what the provider bills on top of it (CPU, memory, storage), null when the rate includes CPU and memory.

    after · 62% of words in common

    One entry per GPU model with its cheapest live on-demand cloud rental price in USD per GPU-hour, the provider offering it, and how many providers rent it, from FastGPU's live price feed across marketplaces, neoclouds and hyperscalers (RunPod, Vast.ai, Lambda, AWS and more). Use it to compare GPU rental prices or to find where a named GPU is cheapest to rent. Each price is the provider's own per-GPU rate: cheapest_min_gpu_count says when it is only sold as a multi-GPU instance, and cheapest_billed_separately names what the provider bills on top of it (CPU, memory, storage), null when the rate includes CPU and memory. page_url links to the GPU's live price page with every offer. Rental prices only: it does not rent, reserve or launch GPUs. No key required.

  • list_gpu_priceschangeddescription, output schema
    before

    One entry per GPU model with the current cheapest live rental price across the whole market (RunPod, Vast.ai, Lambda, hyperscalers and more). No key required. Use this to compare GPU prices.

    after · 50% of words in common

    One entry per GPU model with the current cheapest live rental price across the whole market (RunPod, Vast.ai, Lambda, hyperscalers and more). No key required. Use this to compare GPU prices. Each price is the provider's own per-GPU rate: cheapest_min_gpu_count says when it is only sold as a multi-GPU instance, and cheapest_billed_separately names what the provider bills on top of it (CPU, memory, storage), null when the rate includes CPU and memory.

  • list_gpu_priceschangedoutput schema

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 80 / 100

no-repository
provenance55
liveness100
freshness85
hygiene80

+dns-namespace +website +reachable +uptime-100% ~updated-53d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://fastgpu.co/api/mcp streamable-httpnoneyes100%584 ms2025-11-252026-10-19

Tools (2)

list_gpu_pricesread-onlyOne entry per GPU model with its cheapest live on-demand cloud rental price in USD per GPU-hour, the provider offering it, and how many providers rent it, from FastGPU's live price feed across marketplaces, neoclouds and hyperscalers (RunPod, Vast.ai, Lambda, AWS and more). Use it to compare GPU rental prices or to find where a named GPU is cheapest to rent. Each price is the provider's own per-GPU rate: cheapest_min_gpu_count says when it is only sold as a multi-GPU instance, and cheapest_billed_separately names what the provider bills on top of it (CPU, memory, storage), null when the rate includes CPU and memory. page_url links to the GPU's live price page with every offer. Rental prices only: it does not rent, reserve or launch GPUs. No key required.
match_workloadread-onlyRanks up to eight GPU configurations that can run a job at the lowest live price. Describe the job in query (an open-weight model to serve or fine-tune, a model size, or a GPU need) or with the structured fields. Each match gives the GPU count, the USD per hour for the whole configuration and a one-line reason; the answer also states the VRAM the job needs and how much cheaper the top match is than a hyperscaler running the same job. Use it to decide where to run a workload; use list_gpu_prices for the price of a named GPU. Open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Between otherwise equal offers, a small disclosed tie-break favors providers that pay FastGPU a referral (each match reports partner). Hard limits (budget_usd_hr, max_total_usd with duration_hours, max_quote_age_minutes) drop every configuration that breaks them; limits reports what was dropped. Read-only: it does not rent or launch GPUs. No key required.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "co.fastgpu/fastgpu",
  "icons": [
    {
      "src": "https://fastgpu.co/brand/icon-512.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "FastGPU",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://fastgpu.co/api/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.1",
  "websiteUrl": "https://fastgpu.co/?utm_source=mcp-registry&utm_medium=listing&utm_campaign=mcp-dist-aug26",
  "description": "Compare live GPU cloud rental prices and match workloads to the cheapest provider."
}