save_site
Save a candidate data-center site to your DC Hub account to track it across sessions (FREE — just needs a key; call claim_free_key if you don't have one). Give lat + lon (plus optional name, state, market, target_mw, notes). Returns the saved site id. Pass market and DC Hub snapshots the site's D...
This record as markdown: /tools/cloud-dchub-mcp-server/save-site.md
What save_site does on Mcp Server
AI agents use save_site 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 |
|---|---|---|---|
lat | number | — | Site latitude in decimal degrees (-90 to 90), e.g. 39.04 |
lng | number | — | Alias for lon — either name works |
lon | number | — | Site longitude in decimal degrees (-180 to 180), e.g. -77.48 |
name | string | — | Optional label for the saved site, e.g. "Ashburn parcel" |
notes | string | — | Optional free-text notes to store with the saved site |
state | string | — | US state abbreviation for the site, e.g. VA |
market | string | — | Market slug (metro) the site belongs to, e.g. northern-virginia |
latitude | number | — | Alias for lat — either name works |
longitude | number | — | Alias for lon — either name works |
target_mw | number | — | Target power load for the planned build in megawatts (MW), e.g. 100 |
Parameters from the server's own tool schema.
Why save_site is rated Medium
An AI agent can call save_site 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.
Risk signalsHigh parameter count (10 properties) · Bulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs save_site 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 save_site, this is the rule to start with:
save_site 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every save_site call is checked against it from then on.
Questions about save_site
Save a candidate data-center site to your DC Hub account to track it across sessions (FREE — just needs a key; call claim_free_key if you don't have one). Give lat + lon (plus optional name, state, market, target_mw, notes). Returns the saved site id. Pass market and DC Hub snapshots the site's DCPI baseline at save time, so every later list_saved_sites / get_changes shows how ITS score and verdict moved since you saved it. Builds a persistent shortlist an agent can revisit + monitor — after saving, pass the returned id to set_site_alert so DC Hub emails you when that site’s DCPI/capacity/nearby-facilities move (no re-checking). Try: save_site lat=39.04 lon=-77.48 name="Ashburn parcel" market=northern-virginia target_mw=100. Do NOT use to read back the shortlist (use list_saved_sites), download it (use export_dataset), or score a site (use score_facility); this WRITES one site to your account. 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.
save_site accepts 10 parameters: lat, lng, lon, name, notes, state, market, latitude, longitude, target_mw. 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 save_site: 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.
save_site is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_site 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 save_site. 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.
save_site 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.
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