Leonardo Get Blueprint By Id

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READleonardo-ai.leonardo_get_blueprint_by_id

• Contract tier: agent_ready
• Risk: read
• Catalog version: leonardo-ai-2026.07.12.1
• Descriptor hash: 75283e294dcc3dd6a2b9057202929276a00b2a0bc5c9f64f35c4e9b0519cb48b

Use this to call Leonardo.Ai Blueprints endpoint GET /blueprints/{id}. Get a blueprint by ID. Contacts Leonardo.Ai using the BYOK x-leonardo-api-key portal header. Provide path_params for: id. Returns a compact, sanitized provider response.

Request Body

{
  "jsonrpc": "2.0",
  "id": "leonardo-ai-leonardo-get-blueprint-by-id-example",
  "method": "tools/call",
  "params": {
    "name": "leonardo-ai.leonardo_get_blueprint_by_id",
    "arguments": {
      "body": "",
      "query": "",
      "confirm": false,
      "path_params": "",
      "query_params": "",
      "request_body": ""
    }
  }
}

Arguments Schema

{
  "type": "object",
  "properties": {
    "body": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "JSON request body for the Leonardo endpoint. Use provider parameter names exactly, including casing such as `modelId`, `num_images`, or `init_image_id`."
    },
    "query": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Query string parameters for the Leonardo endpoint. Omit when unused."
    },
    "confirm": {
      "type": "boolean",
      "default": false,
      "description": "Must be true for destructive DELETE tools. Ignored for non-destructive tools."
    },
    "path_params": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Values for path placeholders in the endpoint path, such as `{'id': '...'}` or `{'datasetId': '...'}`. Omit when the endpoint has no placeholders."
    },
    "query_params": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Query string parameters for the Leonardo endpoint. Omit when unused."
    },
    "request_body": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "JSON request body for the Leonardo endpoint. Use provider parameter names exactly, including casing such as `modelId`, `num_images`, or `init_image_id`."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "description": "Leonardo MCP result. ok=false, provider_ok=false, a failed status, or an error field represents a semantic failure even when transport delivery succeeded.",
  "additionalProperties": true
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "leonardo-ai-leonardo-get-blueprint-by-id-example",
  "method": "tools/call",
  "params": {
    "name": "leonardo-ai.leonardo_get_blueprint_by_id",
    "arguments": {
      "body": "",
      "query": "",
      "confirm": false,
      "path_params": "",
      "query_params": "",
      "request_body": ""
    }
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "leonardo-ai-leonardo-get-blueprint-by-id-example",
  "method": "tools/call",
  "params": {
    "name": "leonardo-ai.leonardo_get_blueprint_by_id",
    "arguments": {
      "body": "",
      "query": "",
      "confirm": false,
      "path_params": "",
      "query_params": "",
      "request_body": ""
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "leonardo-ai-leonardo-get-blueprint-by-id-example",
  "method": "tools/call",
  "params": {
    "name": "leonardo-ai.leonardo_get_blueprint_by_id",
    "arguments": {
      "body": "",
      "query": "",
      "confirm": false,
      "path_params": "",
      "query_params": "",
      "request_body": ""
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool leonardo-ai.leonardo_get_blueprint_by_id executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}