3,400+ MCP servers ready to use
Vinkius

eSputnik MCP Server for LangChainGive LangChain instant access to 12 tools to Attach To Group, Create Contact, Detach From Group, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect eSputnik 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 App Connector for LangChain

The eSputnik app connector for LangChain is a standout in the Marketing category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "esputnik": {
            "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 eSputnik, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
eSputnik
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 eSputnik MCP Server

The eSputnik MCP server allows your AI agent to orchestrate marketing campaigns across Email, SMS, Web Push, and Mobile Push. Send messages, retrieve contact lists, and manage omnichannel workflows seamlessly.

LangChain's ecosystem of 500+ components combines seamlessly with eSputnik through native MCP adapters. Connect 12 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.

The eSputnik MCP Server exposes 12 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.

All 12 eSputnik tools available for LangChain

When LangChain connects to eSputnik through Vinkius, your AI agent gets direct access to every tool listed below — spanning esputnik, email, sms, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

attach_to_group

Add contacts to a specific group

create_contact

Create a new contact in eSputnik

detach_from_group

Remove contacts from a group

get_account_info

Retrieve account and organization metadata

get_contact

Retrieve details for a specific contact

get_message_status

Check the delivery status of a sent message

list_contacts

List all contacts in eSputnik

list_groups

List all contact groups/segments

list_unsubscribed

List unsubscribed email addresses

search_contacts

Search for contacts by email or phone

send_smart_send

Trigger an omnichannel message send

trigger_event

Generate a system event to trigger workflows

Connect eSputnik to LangChain via MCP

Follow these steps to wire eSputnik into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from eSputnik via MCP

Why Use LangChain with the eSputnik MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine eSputnik 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 eSputnik queries for multi-turn workflows

eSputnik + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for eSputnik in LangChain

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

01

"List all my contact groups in eSputnik."

02

"Send an SMS saying 'Your order has shipped!' to +123456789."

03

"Add 'john@example.com' to the 'VIP Customers' list."

Troubleshooting eSputnik MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

eSputnik + LangChain FAQ

Common questions about integrating eSputnik 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.