hyperscaler_deals
Hyperscaler AI Deal Tracker — live feed of Stargate, OpenAI, Anthropic, Microsoft, Oracle, CoreWeave, AMD, NVIDIA, sovereign-AI deals. Pulls from dchub news pipeline, extracts $-figures + MW via regex, classifies by actor. 10-min refresh. Use for tracking AI capex events ($1B+/week typical), capa...
This record as markdown: /tools/cloud-dchub-mcp-server/hyperscaler-deals.md
What hyperscaler_deals does on Mcp Server
AI agents call hyperscaler_deals to retrieve information from Mcp Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | integer | — | Number of recent AI-capex deals to return (default 20) |
Parameters from the server's own tool schema.
Why hyperscaler_deals is rated Low
The tool retrieves and classifies live news/deal data from a pipeline. It reads and processes external information (deal announcements, financial figures) but does not move money, execute commands, modify data, or destroy anything. It is a data intelligence/read tool. Severity is low as misuse would at most surface incorrect market intelligence.
From the tool's definition live feed... Pulls from dchub news pipeline, extracts $-figures + MW via regex, classifies by actor. 10-min refresh
Attacks that exploit this kind of access
The rule that runs hyperscaler_deals safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hyperscaler_deals, this is the rule to start with:
hyperscaler_deals is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every hyperscaler_deals call is checked against it from then on.
Questions about hyperscaler_deals
Hyperscaler AI Deal Tracker — live feed of Stargate, OpenAI, Anthropic, Microsoft, Oracle, CoreWeave, AMD, NVIDIA, sovereign-AI deals. Pulls from dchub news pipeline, extracts $-figures + MW via regex, classifies by actor. 10-min refresh. Use for tracking AI capex events ($1B+/week typical), capacity announcements, and competitive intel. Do NOT use for the full historical M&A comp set (use list_transactions) or a single-deal teardown with grid context (use deal_autopsy); this is the live $1B+ AI-capex feed. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
hyperscaler_deals accepts 1 parameter: limit. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Server MCP server in PolicyLayer and add a rule for hyperscaler_deals: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Server. Nothing to install.
hyperscaler_deals is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the hyperscaler_deals rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for hyperscaler_deals. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
hyperscaler_deals is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Server, and thousands of servers like it.
This server
Across the catalogue