API Reference
mcp_server
| Parameter | Type | Default | Description |
|---|---|---|---|
action |
str | required | start, stop, status, list |
transport |
str | http |
http or stdio |
port |
int | 8000 | Port for HTTP |
tools |
list | None | Tools to expose (None = all) |
expose_agent |
bool | True | Include invoke_agent |
stateless |
bool | False | Multi-node ready |
Examples:
# Start
agent("start mcp server")
agent.tool.mcp_server(action="start", port=8000, agent=agent)
# Status
agent.tool.mcp_server(action="status", agent=agent)
# Stop
agent.tool.mcp_server(action="stop", agent=agent)
mcp_client
| Parameter | Type | Description |
|---|---|---|
action |
str | connect, disconnect, list_tools, call_tool |
connection_id |
str | Connection identifier |
transport |
str | http, stdio, sse |
server_url |
str | URL for http/sse |
tool_name |
str | Tool to call |
tool_args |
dict | Tool arguments |
Examples:
# Connect
agent.tool.mcp_client(
action="connect",
connection_id="remote",
transport="http",
server_url="http://localhost:8000/mcp"
)
# List tools
agent.tool.mcp_client(action="list_tools", connection_id="remote")
# Call tool
agent.tool.mcp_client(
action="call_tool",
connection_id="remote",
tool_name="calculator",
tool_args={"expression": "2 + 2"}
)
# Disconnect
agent.tool.mcp_client(action="disconnect", connection_id="remote")
invoke_agent
Full conversational access to agent (when expose_agent=True):
agent.tool.mcp_client(
action="call_tool",
connection_id="remote",
tool_name="invoke_agent",
tool_args={"prompt": "Calculate 2 + 2 and explain"}
)
Parameters:
prompt(str): Natural language query