ai_capacity_index

AI Compute Capacity Index — ranks data center markets by where 100MW of AI training capacity can land in the next 30/60/90 days. Returns top markets with facility_count, operator_count, deployable_mw estimate, hyperscale_ready flag, and composite score (depth + diversity + power). Refreshed Frida...

SERVERMcp Server SOURCEhttps://dchub.cloud/mcp
Low RISK CLASS
Category Read
Parameters 20 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cloud-dchub-mcp-server/ai-capacity-index.md

What ai_capacity_index does on Mcp Server

AI agents call ai_capacity_index 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.

ParameterTypeRequiredDescription
limit integer Number of top markets to return (default 20)
horizon integer Deployment horizon in days: 30, 60, or 90 (default 90)

Parameters from the server's own tool schema.

Why ai_capacity_index is rated Low

This is a query/analytics tool that surfaces pre-computed or real-time indexed data about AI compute capacity availability. The output informs strategic planning but produces no state changes in the underlying systems. It is informational and read-only, comparable to a search or ranked list retrieval, placing it in the Read category with low risk.

From the tool's definition Tool returns market rankings and facility metadata (facility_count, operator_count, deployable_mw, hyperscale_ready flag, composite score) with no side effects.

Questions about ai_capacity_index

What does the ai_capacity_index tool do? +

AI Compute Capacity Index — ranks data center markets by where 100MW of AI training capacity can land in the next 30/60/90 days. Returns top markets with facility_count, operator_count, deployable_mw estimate, hyperscale_ready flag, and composite score (depth + diversity + power). Refreshed Fridays 14:00 UTC. Use for AI capex planning, GPU cluster siting, hyperscaler deal forecasting. Do NOT use for a general best-markets ranking (use rank_markets) or forward grid-emergence (use grid_transition_radar); this answers specifically where 100MW of AI capacity can land in 30/60/90 days. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.

What parameters does ai_capacity_index accept? +

ai_capacity_index accepts 2 parameters: limit, horizon. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on ai_capacity_index? +

Register the Mcp Server MCP server in PolicyLayer and add a rule for ai_capacity_index: 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 ai_capacity_index? +

ai_capacity_index is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ai_capacity_index? +

Yes. Add a rate_limit block to the ai_capacity_index 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 ai_capacity_index completely? +

Set action: deny in the PolicyLayer policy for ai_capacity_index. 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 ai_capacity_index? +

ai_capacity_index 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.

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