Developers · Public MCP server

GPU Data Hub for AI agents

MCP lets compatible AI agents query GPU Data Hub's public infrastructure news, Daily Briefs, GPU prices and directory data.

MCP endpoint

https://gpudatahub.com/mcp

How it works

01
Connect
Add the endpoint to a compatible remote MCP client.
02
Ask
Ask for current news, a published brief or public directory records.
03
Receive
The agent receives structured GPU Data Hub data with URLs and attribution where available.

Try it

“Show me the 10 latest data-center infrastructure stories and cite each original source.”

“Search GPU Data Hub news for H200 availability and summarise the recent developments.”

“Get the latest Daily AI Infrastructure Brief and list what to watch next.”

“List 20 public cloud-provider directory records and the GPU models they report offering.”

“Find the public H100 and H200 GPU directory records and compare only the fields returned.”

“Return public GPU price records for further analysis, including their update dates.”

Available tools

latest_news: Return the newest approved, published story summaries with source links.; Parameters
category? — ai, gpus, data-centers, semiconductors, cloud, energy or deals
limit? — 1–50; default 15
search_news: Search published headlines and GPU Data Hub summaries by keyword or phrase.; Parameters
query — 2–120 characters
limit? — 1–30; default 10
get_daily_brief: Return a published Daily Brief, its sections and what-to-watch notes.; Parameters
date? — YYYY-MM-DD; omit for the latest published brief
get_directory: Query one allowlisted public infrastructure directory.; Parameters
dataset — companies, gpus, gpu_prices, cloud_providers, data_centers or deals
limit? — 1–100; default 50

Supported clients

Use any client that supports remote MCP over Streamable HTTP. The examples below are manual setup methods, not one-click integrations or endorsements.

OpenAI API (remote MCP tool)

Pass the server as a tool in the Responses API.

{
  "type": "mcp",
  "server_label": "gpu_data_hub",
  "server_url": "https://gpudatahub.com/mcp",
  "require_approval": "never"
}

Claude (custom connector)

In Claude, open Settings → Connectors → Add custom connector, and enter this URL. No authentication is required.

https://gpudatahub.com/mcp

Cursor (mcp.json)

Add to ~/.cursor/mcp.json or your project's .cursor/mcp.json.

{
  "mcpServers": {
    "gpu-data-hub": { "url": "https://gpudatahub.com/mcp" }
  }
}

Any MCP client (Streamable HTTP)

Point any client that supports the Streamable HTTP transport at the endpoint. POST requests must send Accept: application/json, text/event-stream.

Endpoint:  https://gpudatahub.com/mcp
Transport: streamable-http
Auth:      none (public, read-only)

Public by design, read-only by default

The server reads only allowlisted public data. It cannot expose subscribers, inquiries, unpublished stories or newsroom administration, and it cannot modify records.

Attribution

News results contain GPU Data Hub's original summaries and links to the original publisher. Agents should cite those source URLs. Read our editorial methodology.

Frequently asked questions

What is MCP?: Model Context Protocol is a standard way for compatible AI clients to discover and call tools exposed by a server.
Is an API key required?: No. This endpoint is intentionally public and does not currently require an API key or GPU Data Hub account.
Is it read-only?: Yes. Its four tools only read allowlisted public records. They cannot create, edit or delete site data.
What data can agents access?: Approved published news summaries, published Daily Briefs, and public company, GPU, GPU-price, cloud-provider, data-center and deal directory fields.
Is it free?: GPU Data Hub currently charges no fee for this public endpoint. Your AI client or model provider may have its own usage costs and limits.

Explore the underlying data

A machine-readable convenience summary is available at /mcp-config.json. It is not an official MCP standard. The public JSON Feed is also available for feed readers; it is separate from MCP.