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For Developer

Follow the instructions below to integrate Affinity MCP server to your AI application using our API or SDK.

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Prerequisites

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1. Create an Affinity MCP Server

Use the following endpoint to create a new remote Affinity MCP server instance:

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Request

from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

klavis_client = Klavis(api_key="<YOUR_API_KEY>")

# Create an Affinity MCP server instance
affinity_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.AFFINITY,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

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Response

{
  "serverUrl": "https://affinity-mcp-server.klavis.ai/sse?instance_id=<instance-id>",
  "instanceId": "<instance-id>"
}
serverUrl specifies the endpoint of the Affinity MCP server, which allows you to interact with your Affinity CRM data.
instanceId is used for authentication and identification of your server instance.

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2. Configure Affinity API Key

To use the Affinity MCP Server, you need to configure it with your Affinity API key.

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Setting up Affinity API Key

from klavis import Klavis

klavis_client = Klavis(api_key="<YOUR_KLAVIS_API_KEY>")

# Set the Affinity API key for your instance
response = klavis_client.mcp_server.set_instance_auth_token(
    instance_id="<YOUR_INSTANCE_ID>",
    auth_token="<YOUR_AFFINITY_API_KEY>",
)

print(response)

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Response

{
  "success": true,
  "message": "<string>"
}

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