How to Use the Attio MCP in LangChain

Q: Can I trace Attio tool execution in LangSmith?

Yes, every call to tools like queryrecords appears in your LangSmith dashboard. You can monitor latency, inputs, and outputs for every CRM interaction.

Build LangChain pipelines that query, update, and search your Attio CRM data using native tool calling.

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Connect Attio MCP to LangChain

Create your Vinkius account to connect Attio to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Attio with LangChain

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Claude

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Automate CRM updates in LangChain with this MCP Server

We built this MCP Server to expose tools like `assert_record` and `create_record` directly to your LangChain agent. Your ReAct agent can write pipeline logic that checks if a customer exists, updates their details, or creates a new entry on the fly. You get full visibility of these CRM updates inside LangSmith. Trace every single token and tool call so you know exactly when and why an agent decided to modify your sales pipeline.

Dynamic schema discovery for LangChain agents

The `list_objects` and `list_attributes` tools let your LangChain chains inspect your live Attio workspace configuration before executing writes. Your agents inspect custom fields and tables dynamically instead of relying on hardcoded schemas. This setup prevents broken chains when your sales team adds new attributes in Attio. The agent adapts its payload structure on the fly during multi-step runs.

Multi-step sales intelligence chains

Use `query_records` and `search_records` to build LangChain loops that pull qualified leads and update their status. The agent evaluates the query results, determines who needs follow-ups, and edits records in a single execution. Combine these Attio tools with other APIs in your LangGraph setup to run complex, multi-server workflows. You get reliable data flow without writing custom API connectors for each step.

Setup guide

Set up Attio MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Attio tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "attio-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Attio transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Attio MCP in LangChain

Vinkius manages the connection securely. Your LangChain code only needs a single endpoint token, removing the need to store raw Attio API keys in your local environment.

Yes, every call to tools like `query_records` appears in your LangSmith dashboard. You can monitor latency, inputs, and outputs for every CRM interaction.

Install the required adapter packages and initialize the client. Call the tool retrieval method and pass the resulting list directly to your agent constructor.

Yes, the server inspects your workspace dynamically. Your agent can query custom schemas using the object listing tool.

All customer records and workspace attributes stay within a secure V8 isolate. Vinkius processes these transactions ephemerally, ensuring your pipeline data is never stored or cached on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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