Search Conversations

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READghl.search_conversations

• Contract tier: agent_ready
• Risk: read
• Catalog version: 2026-07-12.2
• Descriptor hash: 2c7f641f8d9e897e33a771070ee7607c3bc4618a3d7479b7978fcb97d557afb6

Search conversations in GoHighLevel with privacy-safe summaries by default. Contact emails, phone numbers, full message bodies, and raw provider fields are omitted unless explicitly requested. GHL category: Conversations. This is a read-only GHL API operation.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ghl-search-conversations-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.search_conversations",
    "arguments": {
      "limit": 1,
      "query": "query_example",
      "status": "all",
      "tenantId": "tenantId_123",
      "contactId": "contactId_123",
      "assignedTo": "assignedTo_example",
      "includeMessageBodies": false,
      "includeContactDetails": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "default": 20,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum number of conversations to return (default: 20, max: 100)"
    },
    "query": {
      "type": "string",
      "description": "Search query to filter conversations"
    },
    "status": {
      "enum": [
        "all",
        "read",
        "unread",
        "starred",
        "recents"
      ],
      "type": "string",
      "default": "all",
      "description": "Filter conversations by read status"
    },
    "tenantId": {
      "type": "string",
      "description": "Tenant ID from list_tenants."
    },
    "contactId": {
      "type": "string",
      "description": "Filter conversations for a specific contact"
    },
    "assignedTo": {
      "type": "string",
      "description": "Filter by user ID assigned to conversations"
    },
    "includeMessageBodies": {
      "type": "boolean",
      "default": false,
      "description": "Defaults to false. When true, include truncated last-message body snippets. Leave false for privacy-safe discovery."
    },
    "includeContactDetails": {
      "type": "boolean",
      "default": false,
      "description": "Defaults to false. When true, include contact display name/email/phone in results only when explicitly needed."
    }
  }
}

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-search-conversations-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.search_conversations",
    "arguments": {
      "limit": 1,
      "query": "query_example",
      "status": "all",
      "tenantId": "tenantId_123",
      "contactId": "contactId_123",
      "assignedTo": "assignedTo_example",
      "includeMessageBodies": false,
      "includeContactDetails": 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-search-conversations-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.search_conversations",
    "arguments": {
      "limit": 1,
      "query": "query_example",
      "status": "all",
      "tenantId": "tenantId_123",
      "contactId": "contactId_123",
      "assignedTo": "assignedTo_example",
      "includeMessageBodies": false,
      "includeContactDetails": 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-search-conversations-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.search_conversations",
    "arguments": {
      "limit": 1,
      "query": "query_example",
      "status": "all",
      "tenantId": "tenantId_123",
      "contactId": "contactId_123",
      "assignedTo": "assignedTo_example",
      "includeMessageBodies": false,
      "includeContactDetails": false
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

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