Internet Computer Subnets

icp-dashboard/subnets

The subnets of the Internet Computer: id, type, node counts, canister counts, running canisters, memory and state (a page of the first subnets).

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

Internet Computer

Data from the public Internet Computer dashboard API (ic-api.internetcomputer.org). Served by Eden Engine; not an official DFINITY product.

Use it

Your AI assistant does the work: it finds this tool, shows you the price first, runs it, and you are charged when the run finishes. There is nothing to set up for this tool in particular.

Connect once and your AI can find and run this tool, and any other it needs.

Install it Create an account

For developers: the calls your assistant makes

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "icp-dashboard/subnets" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "icp-dashboard/subnets" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "icp-dashboard/subnets", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "icp-dashboard/subnets", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0026

Updated: Oct 28, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "limit"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 10,
      "minimum": 1,
      "description": "How many subnets to return, 1 to 10."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "data",
    "next_cursor"
  ],
  "properties": {
    "data": {
      "type": "array"
    },
    "next_cursor": {
      "type": "string"
    }
  },
  "description": "The answer as the host returns it.",
  "additionalProperties": true
}