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Blueshift MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Blueshift through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "blueshift": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Blueshift, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Blueshift
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Blueshift MCP Server

Connect your Blueshift account to any AI agent and orchestrate your omnichannel marketing and customer data workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Blueshift through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Campaign Management — List all marketing campaigns, retrieve detailed execution reports, and monitor high-level performance.
  • Customer Data Orchestration — Retrieve and update detailed customer profiles, including custom attributes and identifiers.
  • Real-time Event Tracking — Track custom user interactions (purchases, clicks, views) and retrieve event histories for behavior analysis.
  • Catalog & Segment Discovery — List all data catalogs and customer segments to ensure accurate targeting.
  • Triggered Campaigns — Initiate API-triggered campaigns for specific users directly from your workspace.

The Blueshift MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Blueshift to LangChain via MCP

Follow these steps to integrate the Blueshift MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Blueshift via MCP

Why Use LangChain with the Blueshift MCP Server

LangChain provides unique advantages when paired with Blueshift through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Blueshift MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Blueshift queries for multi-turn workflows

Blueshift + LangChain Use Cases

Practical scenarios where LangChain combined with the Blueshift MCP Server delivers measurable value.

01

RAG with live data: combine Blueshift tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Blueshift, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Blueshift tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Blueshift tool call, measure latency, and optimize your agent's performance

Blueshift MCP Tools for LangChain (10)

These 10 tools become available when you connect Blueshift to LangChain via MCP:

01

create_update_customer

Create or update a customer profile

02

get_campaign_detail

Get detailed report for a specific campaign

03

get_campaign_performance

Get high-level performance summary for all campaigns

04

get_catalog_items

Retrieve items from a specific catalog

05

get_customer

Retrieve a customer profile

06

get_event_history

Get history of events for a user

07

list_campaigns

List all marketing campaigns

08

list_catalogs

List all data catalogs

09

list_segments

List all customer segments

10

track_event

Track a custom user event

Example Prompts for Blueshift in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Blueshift immediately.

01

"List all active marketing campaigns in Blueshift."

02

"Show the profile for customer john@example.com."

03

"Track a 'purchase' event for user customer_123."

Troubleshooting Blueshift MCP Server with LangChain

Common issues when connecting Blueshift to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Blueshift + LangChain FAQ

Common questions about integrating Blueshift MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Blueshift to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.