Skip to main content
MCP (Model Context Protocol) is a protocol for exposing tools and resources to AI agents. Read more here.

​
Basic MCP Usage

This example is available on GitHub: examples/01_standalone_sdk/07_mcp_integration.py
Here’s an example integrating MCP servers with an agent:
examples/01_standalone_sdk/07_mcp_integration.py
import os

from pydantic import SecretStr

from openhands.sdk import (
    LLM,
    Agent,
    Conversation,
    Event,
    LLMConvertibleEvent,
    get_logger,
)
from openhands.sdk.security.llm_analyzer import LLMSecurityAnalyzer
from openhands.sdk.tool import Tool, register_tool
from openhands.tools.execute_bash import BashTool
from openhands.tools.file_editor import FileEditorTool


logger = get_logger(__name__)

# Configure LLM
api_key = os.getenv("LLM_API_KEY")
assert api_key is not None, "LLM_API_KEY environment variable is not set."
model = os.getenv("LLM_MODEL", "openhands/claude-sonnet-4-5-20250929")
base_url = os.getenv("LLM_BASE_URL")
llm = LLM(
    usage_id="agent",
    model=model,
    base_url=base_url,
    api_key=SecretStr(api_key),
)

cwd = os.getcwd()
register_tool("BashTool", BashTool)
register_tool("FileEditorTool", FileEditorTool)
tools = [
    Tool(name="BashTool"),
    Tool(name="FileEditorTool"),
]

# Add MCP Tools
mcp_config = {
    "mcpServers": {
        "fetch": {"command": "uvx", "args": ["mcp-server-fetch"]},
        "repomix": {"command": "npx", "args": ["-y", "repomix@1.4.2", "--mcp"]},
    }
}
# Agent
agent = Agent(
    llm=llm,
    tools=tools,
    mcp_config=mcp_config,
    # This regex filters out all repomix tools except pack_codebase
    filter_tools_regex="^(?!repomix)(.*)|^repomix.*pack_codebase.*$",
    security_analyzer=LLMSecurityAnalyzer(),
)

llm_messages = []  # collect raw LLM messages


def conversation_callback(event: Event):
    if isinstance(event, LLMConvertibleEvent):
        llm_messages.append(event.to_llm_message())


# Conversation
conversation = Conversation(
    agent=agent,
    callbacks=[conversation_callback],
    workspace=cwd,
)

logger.info("Starting conversation with MCP integration...")
conversation.send_message(
    "Read https://github.com/OpenHands/OpenHands and write 3 facts "
    "about the project into FACTS.txt."
)
conversation.run()

conversation.send_message("Great! Now delete that file.")
conversation.run()

print("=" * 100)
print("Conversation finished. Got the following LLM messages:")
for i, message in enumerate(llm_messages):
    print(f"Message {i}: {str(message)[:200]}")
Running the Example
export LLM_API_KEY="your-api-key"
cd agent-sdk
uv run python examples/01_standalone_sdk/07_mcp_integration.py

​
MCP Configuration

Configure MCP servers using a dictionary with server names and connection details following this configuration format 
mcp_config = {
    "mcpServers": {
        "fetch": {"command": "uvx", "args": ["mcp-server-fetch"]},
        "repomix": {"command": "npx", "args": ["-y", "repomix@1.4.2", "--mcp"]},
    }
}

​
Tool Filtering

Use filter_tools_regex to control which MCP tools are available to the agent 
agent = Agent(
    llm=llm,
    tools=tools,
    mcp_config=mcp_config,
    filter_tools_regex="^(?!repomix)(.*)|^repomix.*pack_codebase.*$",
)

​
MCP with OAuth

This example is available on GitHub: examples/01_standalone_sdk/08_mcp_with_oauth.py
For MCP servers requiring OAuth authentication:
examples/01_standalone_sdk/08_mcp_with_oauth.py
import os

from pydantic import SecretStr

from openhands.sdk import (
    LLM,
    Agent,
    Conversation,
    Event,
    LLMConvertibleEvent,
    get_logger,
)
from openhands.sdk.tool import Tool, register_tool
from openhands.tools.execute_bash import BashTool
from openhands.tools.file_editor import FileEditorTool


logger = get_logger(__name__)

# Configure LLM
api_key = os.getenv("LLM_API_KEY")
assert api_key is not None, "LLM_API_KEY environment variable is not set."
model = os.getenv("LLM_MODEL", "openhands/claude-sonnet-4-5-20250929")
base_url = os.getenv("LLM_BASE_URL")
llm = LLM(
    usage_id="agent",
    model=model,
    base_url=base_url,
    api_key=SecretStr(api_key),
)

cwd = os.getcwd()
register_tool("BashTool", BashTool)
register_tool("FileEditorTool", FileEditorTool)
tools = [
    Tool(
        name="BashTool",
    ),
    Tool(name="FileEditorTool"),
]

mcp_config = {
    "mcpServers": {"Notion": {"url": "https://mcp.notion.com/mcp", "auth": "oauth"}}
}
agent = Agent(llm=llm, tools=tools, mcp_config=mcp_config)

llm_messages = []  # collect raw LLM messages


def conversation_callback(event: Event):
    if isinstance(event, LLMConvertibleEvent):
        llm_messages.append(event.to_llm_message())


# Conversation
conversation = Conversation(
    agent=agent,
    callbacks=[conversation_callback],
)

logger.info("Starting conversation with MCP integration...")
conversation.send_message("Can you search about OpenHands V1 in my notion workspace?")
conversation.run()

print("=" * 100)
print("Conversation finished. Got the following LLM messages:")
for i, message in enumerate(llm_messages):
    print(f"Message {i}: {str(message)[:200]}")
Running the Example
export LLM_API_KEY="your-api-key"
cd agent-sdk
uv run python examples/01_standalone_sdk/08_mcp_with_oauth.py

​
OAuth Configuration

  • Configure OAuth-enabled MCP servers by specifying the URL and auth type
  • The SDK automatically handles the OAuth flow when first connecting
  • When the agent first attempts to use an OAuth-protected MCP server’s tools, the SDK initiates the OAuth flow via FastMCP
  • User will be prompted to authenticate
  • Access tokens are securely stored and automatically refreshed by FastMCP as needed
mcp_config = {
    "mcpServers": {
        "Notion": {
            "url": "https://mcp.notion.com/mcp",
            "auth": "oauth"
        }
    }
}

​
Next Steps