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For Developer

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

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Prerequisites

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1. Create a Motion MCP Server

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

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Request

from klavis import Klavis
from klavis.types import McpServerName

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

# Create a Motion MCP server instance
motion_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MOTION,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

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Response

{
  "serverUrl": "https://motion-mcp-server.klavis.ai/sse?instance_id=<instance-id>",
  "instanceId": "<instance-id>"
}
serverUrl specifies the endpoint of the Motion MCP server, which allows you to manage tasks, projects, and workspaces through the Motion service.
instanceId is used for authentication and identification of your server instance.

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2. Configure Motion API Key

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

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Setting up Motion API Key

curl --request POST \
  --url https://api.klavis.ai/mcp-server/instance/set-auth-token \
  --header 'Authorization: Bearer <YOUR_KLAVIS_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
  "instanceId": "<YOUR_INSTANCE_ID>",
  "authToken": "<YOUR_MOTION_API_KEY>"
}'

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Response

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

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Explore MCP Server Tools

For more details about tool input schema, use the list_tool API.