Agent Studio Create Agent

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

WRITEghl.agent_studio_create_agent

• Contract tier: agent_ready
• Risk: write
• Catalog version: 2026-07-12.2
• Descriptor hash: abc2cd0be5b6e7298f106f737a7e6485d6c0105f0ffa771274aa27727b53ba32

Create a GHL AI Agent Studio agent with an initial staging version. GHL category: AI Agents / AI Agent Studio. This writes to or executes GHL AI Agent Studio configuration. Do not modify, publish, or execute production agents during validation unless the user explicitly provides disposable fixtures.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ghl-agent-studio-create-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_create_agent",
    "arguments": {
      "body": {},
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "body"
  ],
  "properties": {
    "body": {
      "type": "object",
      "required": [
        "name",
        "status",
        "version"
      ],
      "properties": {
        "name": {
          "type": "string",
          "description": "Agent name. Use a disposable audit prefix when testing."
        },
        "status": {
          "enum": [
            "active",
            "inactive",
            "archived"
          ],
          "type": "string",
          "description": "Agent status required by GHL."
        },
        "version": {
          "type": "object",
          "description": "Initial version data required by GHL. Prompt/instruction/node fields are redacted from default MCP output.",
          "additionalProperties": true
        },
        "description": {
          "type": "string",
          "description": "Optional agent description."
        }
      },
      "description": "Request body for creating a GHL AI Agent Studio agent. GHL requires name, status, and version data. locationId is injected automatically.",
      "additionalProperties": true
    },
    "query": {
      "type": "object",
      "description": "Optional GHL-supported query parameters for this official Agent Studio endpoint, such as limit, offset, isPublished, or documented filters. locationId is injected automatically for list/get endpoints that require it.",
      "additionalProperties": true
    },
    "tenantId": {
      "type": "string",
      "description": "Tenant ID from list_tenants."
    },
    "locationId": {
      "type": "string",
      "description": "Optional GHL location ID. If provided, it must match the authenticated runtime location; otherwise the runtime location is injected as the required body locationId."
    },
    "strictTenant": {
      "type": "boolean",
      "default": true,
      "description": "Require tenantId to match locationId routing (default: true)."
    },
    "includeFullConfig": {
      "type": "boolean",
      "description": "Defaults to false. Set true only when the user explicitly needs full Agent Studio prompts, version graph data, instructions, nodes, or execution configuration."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "ok",
    "data",
    "error",
    "meta"
  ],
  "properties": {
    "ok": {
      "type": "boolean",
      "description": "Whether the GHL MCP operation completed successfully."
    },
    "data": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "array",
          "items": {}
        },
        {
          "type": "string"
        },
        {
          "type": "number"
        },
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "description": "Tool-specific GHL or local navigation result when ok is true."
    },
    "meta": {
      "type": "object",
      "description": "Safe execution, routing, and timing metadata.",
      "additionalProperties": true
    },
    "error": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "description": "Safe error details when ok is false; credential values are never returned."
    }
  },
  "description": "Normalized GHL MCP response envelope.",
  "additionalProperties": false
}

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": "ghl-agent-studio-create-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_create_agent",
    "arguments": {
      "body": {},
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}'

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": "ghl-agent-studio-create-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_create_agent",
    "arguments": {
      "body": {},
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}),
});
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": "ghl-agent-studio-create-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_create_agent",
    "arguments": {
      "body": {},
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool ghl.agent_studio_create_agent 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."
}