hyperscaler_deals

SERVERMcp Server SOURCEhttps://dchub.cloud/mcp

Medium RISK CLASS

Category Write

Parameters 10 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cloud-dchub-mcp-server/hyperscaler-deals.md

WHAT IT DOES

What hyperscaler_deals does on Mcp Server

AI agents use hyperscaler_deals to create or update resources in Mcp Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Server environment.

Parameter	Type	Required	Description
`limit`	integer	—	Number of recent AI-capex deals to return (default 20)

Parameters from the server's own tool schema.

RISK

Why hyperscaler_deals is rated Medium

An AI agent can call hyperscaler_deals faster than any human can review: one bad instruction and it creates or modifies resources in Mcp Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

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 Rate-limited

hyperscaler_deals stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "hyperscaler_deals": {
      "limits": [
        {
          "counter": "hyperscaler_deals_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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.

FAQ

Questions about hyperscaler_deals

What does the hyperscaler_deals tool do? +

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 Write tool in the Mcp Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does hyperscaler_deals accept? +

hyperscaler_deals accepts 1 parameter: limit. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on hyperscaler_deals? +

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.

What risk level is hyperscaler_deals? +

hyperscaler_deals is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit hyperscaler_deals? +

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.

How do I block hyperscaler_deals completely? +

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.

What MCP server provides hyperscaler_deals? +

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.

KEEP EXPLORING

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