Call your connector

response = actions.request(
    connection_name="your-provider-connection",  # from AgentKit > Connections
    identifier="user_123",
    method="GET",
    path="/v1/customers",  # relative to the connector's proxy_url
)
print(response.status_code, response.json())

const response = await scalekit.actions.request({
  connectionName: 'your-provider-connection', // from AgentKit > Connections
  identifier: 'user_123',
  method: 'GET',
  path: '/v1/customers', // relative to the connector's proxy_url
});
console.log(response.status, response.data);

1
from google.protobuf.json_format import MessageToDict
2

3
page, _ = actions.tools.list_scoped_tools(
4
    identifier="user_123",
5
    filter={"connection_names": ["your-mcp-connection"]},
6
    page_size=100,
7
)
8
print([MessageToDict(t.tool)["definition"]["name"] for t in page.tools])
9

10
result = actions.execute_tool(
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    tool_name="tool_name_from_the_list",
12
    identifier="user_123",
13
    connection_name="your-mcp-connection",
14
    tool_input={"key": "value"},  # match the tool's input_schema
15
)
16
print(result.data)

const page = await scalekit.tools.listScopedTools('user_123', {
  filter: { connectionNames: ['your-mcp-connection'] },
  pageSize: 100,
});
console.log(page.tools.map((t) => t.tool?.definition?.name));

const result = await scalekit.actions.executeTool({
  toolName: 'tool_name_from_the_list',
  identifier: 'user_123',
  connector: 'your-mcp-connection',
  toolInput: { key: 'value' }, // match the tool's input_schema
});
console.log(result.data);