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MCP Integration

Connect to any MCP-compatible tool server. 
pip install orxhestra[mcp]

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Usage

from orxhestra.integrations.mcp import MCPClient, MCPToolAdapter

client = MCPClient("http://localhost:8001/mcp")
adapter = MCPToolAdapter(client)
mcp_tools = await adapter.load_tools()

agent = LlmAgent(
    name="MCPAgent",
    llm=llm,
    tools=mcp_tools,
    instructions="Use the available tools to answer questions.",
)

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Testing with in-memory server

Pass a FastMCP server object directly (no HTTP needed): 
from fastmcp import FastMCP

server = FastMCP("TestServer")

@server.tool
def add(a: int, b: int) -> int:
    """Add two numbers."""
    return a + b

client = MCPClient(server)  # in-memory, no network
adapter = MCPToolAdapter(client)
tools = await adapter.load_tools()
MCPToolAdapter.load_tools() fetches the tool list from the MCP server and wraps each as a LangChain BaseTool.

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In YAML Composer

tools:
  weather:
    mcp:
      url: "http://localhost:8001/mcp"
  local:
    mcp:
      server: "myapp.mcp_server.server"  # dotted import to FastMCP instance