LangSmith Tool Server

The LangSmith Tool Server is our MCP Framework that powers the tools available in the LangSmith Agent Builder. This framework enables you to build and deploy custom tools that can be integrated with your agents. It provides a standardized way to create, deploy, and manage tools with built-in authentication and authorization.

The PyPi package that defines the framework is available here.

Quick start

Install the LangSmith Tool Server and LangChain CLI:

pip install langsmith-tool-server
pip install langchain-cli-v2

Create a new toolkit:

langchain tools new my-toolkit
cd my-toolkit

This creates a toolkit with the following structure:

my-toolkit/
├── pyproject.toml
├── toolkit.toml
└── my_toolkit/
    ├── __init__.py
    ├── auth.py
    └── tools/
        ├── __init__.py
        └── ...

Define your tools using the @tool decorator:

from langsmith_tool_server import tool

@tool
def hello(name: str) -> str:
    """Greet someone by name."""
    return f"Hello, {name}!"

@tool
def add(x: int, y: int) -> int:
    """Add two numbers."""
    return x + y

TOOLS = [hello, add]

Run the server:

langchain tools serve

Your tool server will start on http://localhost:8000.

Simple client example

Here’s a simple example that lists available tools and calls the add tool:

import asyncio
import aiohttp

async def mcp_request(url: str, method: str, params: dict = None):
    async with aiohttp.ClientSession() as session:
        payload = {"jsonrpc": "2.0", "method": method, "params": params or {}, "id": 1}
        async with session.post(f"{url}/mcp", json=payload) as response:
            return await response.json()

async def main():
    url = "http://localhost:8000"

    tools = await mcp_request(url, "tools/list")
    print(f"Tools: {tools}")

    result = await mcp_request(url, "tools/call", {"name": "add", "arguments": {"a": 5, "b": 3}})
    print(f"Result: {result}")

asyncio.run(main())

Adding OAuth authentication

For tools that need to access third-party APIs (like Google, GitHub, Slack, etc.), you can use OAuth authentication with Agent Auth.

Before using OAuth in your tools, you’ll need to configure an OAuth provider in your LangSmith workspace settings. See the Agent Auth documentation for setup instructions.

Once configured, specify the auth_provider in your tool decorator:

from langsmith_tool_server import tool, Context
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build

@tool(
    auth_provider="google",
    scopes=["https://www.googleapis.com/auth/gmail.readonly"],
    integration="gmail"
)
async def read_emails(context: Context, max_results: int = 10) -> str:
    """Read recent emails from Gmail."""
    credentials = Credentials(token=context.token)
    service = build('gmail', 'v1', credentials=credentials)
    # ... Gmail API calls
    return f"Retrieved {max_results} emails"

Tools with auth_provider must:

• Have context: Context as the first parameter
• Specify at least one scope
• Use context.token to make authenticated API calls

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