site_selection_canvas
Guided end-to-end data-center site selection. Give a capacity target + geography + deadline and get a ranked shortlist of US markets (DCPI verdict, excess-power headroom, time-to-power, ISO) — and, with a paid key, the synthesis decision layer: the #1 pick, the why, a build sequence, and risk fla...
This record as markdown: /tools/cloud-dchub-mcp-server/site-selection-canvas.md
What site_selection_canvas does on Mcp Server
AI agents call site_selection_canvas 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 |
|---|---|---|---|
iso | string | — | ISO/RTO code, e.g. ERCOT or PJM — alias for `region`. Use either; `region` wins if both are sent. |
limit | integer | — | Number of shortlist markets to return |
state | string | — | US state code, e.g. OH — alias for `region`. Use either; `region` wins if both are sent. |
region | string | — | Geography scope: a US state code like TX, an ISO like ERCOT, or a region like us/apac. `state` and `iso` are accepted as aliases for this same filter. |
mpp_pay | boolean | — | Autonomous payment (Stripe MPP), step 1: set true to receive a signed $0.50 payment challenge for this call instead of the free preview. No money moves — a chal |
verdict | string | — | Optional DCPI verdict filter: BUILD, CAUTION, or AVOID — or ALL to see every scored market in the geography. Defaults to BUILD,CAUTION, so a geography whose mar |
max_months | integer | — | Maximum acceptable time-to-power in months, 1-120, e.g. 24 |
capacity_mw | integer | — | Target power load for the build in megawatts (MW), 1-5000, e.g. 100 |
mpp_credential | string | — | Autonomous payment (Stripe MPP), step 2: the Shared Payment Token you minted for challenges[0]. Set it here to pay $0.50 for this single call and receive the fu |
Parameters from the server's own tool schema.
Why site_selection_canvas is rated Low
Tool retrieves and ranks market data for site selection; no data modification or execution.
From the tool's definition ranked shortlist, DCPI verdict, synthesis decision layer, find->rank->shortlist
Attacks that exploit this kind of access
The rule that runs site_selection_canvas 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 site_selection_canvas, this is the rule to start with:
site_selection_canvas 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 site_selection_canvas call is checked against it from then on.
Questions about site_selection_canvas
Guided end-to-end data-center site selection. Give a capacity target + geography + deadline and get a ranked shortlist of US markets (DCPI verdict, excess-power headroom, time-to-power, ISO) — and, with a paid key, the synthesis decision layer: the #1 pick, the why, a build sequence, and risk flags. One find->rank->shortlist->verdict call over the DC Hub Power Index. Answers "where should I build 100 MW in Texas by 2028". Try: site_selection_canvas capacity_mw=100 region=TX max_months=24. Do NOT use for a single known parcel (use analyze_site) or an open-ended where-should-I-build question (use get_dchub_recommendation); this runs the full find to rank to shortlist to verdict flow. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
site_selection_canvas accepts 9 parameters: iso, limit, state, region, mpp_pay, verdict, max_months, capacity_mw, mpp_credential. 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 site_selection_canvas: 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.
site_selection_canvas 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 site_selection_canvas 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 site_selection_canvas. 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.
site_selection_canvas 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