Blueshift MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine Blueshift MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Blueshift tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Blueshift, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Blueshift tools with web scrapers, databases, and calculators in a single agent run
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:
create_update_customer
Create or update a customer profile
get_campaign_detail
Get detailed report for a specific campaign
get_campaign_performance
Get high-level performance summary for all campaigns
get_catalog_items
Retrieve items from a specific catalog
get_customer
Retrieve a customer profile
get_event_history
Get history of events for a user
list_campaigns
List all marketing campaigns
list_catalogs
List all data catalogs
list_segments
List all customer segments
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.
"List all active marketing campaigns in Blueshift."
"Show the profile for customer john@example.com."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBlueshift + LangChain FAQ
Common questions about integrating Blueshift MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Blueshift with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Blueshift to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
