How to Use the Blip MCP in LangChain

Build conversational chains in LangChain that trigger Blip messaging flows and ticket updates automatically.

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Connect Blip MCP to LangChain

Create your Vinkius account to connect Blip 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 Blip with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Blip actions in LangChain

Connect `send_message` to your reasoning logic so the agent decides when to reach out to customers. You define the sequence where one result feeds the next step. Your agent parses the output from `list_tickets` to determine if a human needs to jump in. It links Blip operations directly into your LangGraph workflows.

Observe Blip tool calls in LangSmith

Track every `get_thread_messages` call through your LangChain pipeline to monitor latency. You see exactly how the agent behaves when interacting with live support data. Debugging becomes trivial when you trace the inputs and outputs of `get_ticket` in real-time. You know exactly why a specific message was sent to a customer.

Manage stateful Blip conversations

Use client sessions to keep context alive across multiple turns when working with Blip contacts. The agent remembers previous interactions without you needing to rebuild the history. Persistent sessions ensure `create_contact` operations reflect the latest state of your CRM. You handle complex user journeys by maintaining a stateless or stateful connection as required.

Setup guide

Set up Blip 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 Blip 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({
    "blip-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 Blip 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 Blip. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Blip MCP in LangChain

Install the necessary MCP adapters and configure the HTTP transport URL. You then pass the tools from the Blip server directly into your agent constructor.

Yes, the client supports aggregating tools from multiple sources. You combine Blip messaging tools with other data sources in a single chain.

Absolutely, Blip tools integrate into your graph nodes as standard functions. You build conditional logic that branches based on the data retrieved from your threads.

The server uses token-based authentication for every request. Only your specific endpoint can access your contact lists and thread history.

The server exposes customer contact details, ticket logs, and message content. This sensitive PII is handled strictly over encrypted transport layers.

Use it with your favorite AI tools

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