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

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

Connect your Aimtell account to your AI agent to unlock professional web push notification management. From sending one-off alerts to specific subscribers to auditing segment criteria and monitoring real-time campaign analytics, your agent handles your re-engagement strategy through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Aimtell 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 Orchestration — List and manage push notification campaigns, including one-off, triggered, and API campaigns
  • Subscriber Management — Retrieve details for specific subscribers and update custom attributes for personalization
  • Segmentation Oversight — List and audit your subscriber segments to ensure your targeting is always precise
  • Real-time Analytics — Retrieve granular performance data (clicks, sends, conversions) for any campaign directly from chat
  • Multi-site Support — List and manage the different websites associated with your Aimtell account

The Aimtell 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 Aimtell to LangChain via MCP

Follow these steps to integrate the Aimtell 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 Aimtell via MCP

Why Use LangChain with the Aimtell MCP Server

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

01

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

Aimtell + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Aimtell MCP Tools for LangChain (10)

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

01

add_subscriber_attribute

Add custom data to subscriber

02

get_campaign_performance

Get campaign metrics

03

get_subscriber_details

Get subscriber metadata

04

list_api_campaigns

List API-triggered campaigns

05

list_campaigns

List push campaigns

06

list_segments

List subscriber segments

07

list_sites

List managed websites

08

list_subscribers

List site subscribers

09

list_triggered_campaigns

List automated campaigns

10

send_one_off_notification

Send an alert

Example Prompts for Aimtell in LangChain

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

01

"List all active segments in my Aimtell account."

02

"Show me the performance for campaign ID 12345."

03

"Send a one-off push to segment 9876 with title 'Special Offer' and body 'Get 20% off today only!'."

Troubleshooting Aimtell MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Aimtell + LangChain FAQ

Common questions about integrating Aimtell 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 Aimtell to LangChain

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