How to Use the Courier MCP in LangChain

Q: How do I connect Courier to LangChain?

Install the langchain-mcp-adapters package. Use the MultiServerMCPClient with your Courier endpoint and pass the resulting tools to your agent.

Q: Can LangChain agents track Courier message status?

Yes. Your agent can call listmessages to check delivery states. It then feeds that data back into the reasoning loop.

Build multi-step notification pipelines and ReAct agents using the Courier MCP Server and LangChain.

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Connect Courier MCP to LangChain

Create your Vinkius account to connect Courier 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 Courier with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chain Courier MCP Server tools with other APIs

LangChain agents excel at multi-step reasoning. You hook up the Courier MCP Server, and suddenly your agent can decide when to trigger an alert. It checks a database, formats the payload, and fires off an email. The agent uses `list_templates` to find the right layout, then hits `send_notification` to push it out. If a step fails, the ReAct loop catches the error and tries a fallback channel automatically.

Trace delivery logs in LangSmith

Observability matters when you run autonomous pipelines. Every call your agent makes to Courier gets logged directly into LangSmith. You see exactly what parameters went in and what came back. When a user complains they missed an alert, your agent runs `get_message_history`. The trace shows the exact provider response and latency, letting you debug notification failures without leaving the LangChain dashboard.

Manage complex audience segmentation

Sending blasts requires careful targeting over MCP. Your agent pulls criteria using `list_audiences` and combines it with external vector store data to build the perfect recipient list. Instead of hardcoding logic, the ReAct agent evaluates user profiles dynamically. It calls `get_user_profile` to check delivery preferences, making sure SMS goes to people who want text and emails go to the rest.

Setup guide

Set up Courier 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 Courier 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({
    "courier-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 Courier transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Courier. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Courier MCP in LangChain

Install the `langchain-mcp-adapters` package. Use the `MultiServerMCPClient` with your Courier endpoint and pass the resulting tools to your agent.

Yes. Your agent can call `list_messages` to check delivery states. It then feeds that data back into the reasoning loop.

Yes, it does. Every tool execution logs input and output tokens directly to LangSmith for full pipeline visibility.

The agent invokes the profile tool to read preferences mid-chain. This lets it route messages based on contact details before executing the send step.

Vinkius runs the server in an isolated V8 sandbox. When your agent pulls emails or phone numbers, the data passes securely through an ephemeral zero-trust tunnel and is never stored.

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