How do I find my Atlas.so API Token?

Log in to your Atlas dashboard, go to **App Configuration > Data > API**, and you will find your API Token there.

Can I see help center articles via this server?

Yes, use the `list_articles` tool to retrieve a list of articles from your Atlas help center.

How are customer IDs handled?

Atlas uses unique internal IDs for customers. You can discover these IDs by using the `list_customers` tool or searching for a specific customer by email.

Atlas MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Atlas
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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

asyncio.run(main())

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 Atlas MCP Server

The Atlas MCP Server provides a seamless natural language interface to your Atlas.so customer support platform. Empower your AI agent to manage your entire support operation, from ticket auditing to customer oversight and knowledge base access.

LangChain's ecosystem of 500+ components combines seamlessly with Atlas through native MCP adapters. Connect 8 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.

Key Features

Ticket Management — List all active support tickets, retrieve detailed conversation metadata, and create new tickets directly from your chat.
Customer Oversight — Access and manage your customer database, including names, emails, and internal IDs.
Knowledge Base Access — List help center articles to provide accurate information based on your organization's documentation.
Team Monitoring — View a list of team users (agents) to understand your support capacity.
Real-time Support Analytics — Quickly audit active conversations and customer needs using simple natural language commands.
Secure API Integration — Uses your Atlas.so API Token for safe and authenticated access to your support data.

The Atlas MCP Server exposes 8 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 Atlas to LangChain via MCP

Follow these steps to integrate the Atlas 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 8 tools from Atlas via MCP

Why Use LangChain with the Atlas MCP Server

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

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

Atlas + LangChain Use Cases

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

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

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

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

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

Atlas MCP Tools for LangChain (8)

These 8 tools become available when you connect Atlas to LangChain via MCP:

create_ticket

Create a new support ticket

get_account_check

Verify Atlas account connection

get_customer

Get details for a specific customer

get_ticket

Get details for a specific ticket

list_articles

List help center articles

list_customers

List all customers in Atlas

list_tickets

List all support tickets in Atlas

list_users

List team users (agents)

Example Prompts for Atlas in LangChain

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

"List all active support tickets in Atlas."

"Show me the details for ticket ID 'tick_12345'."

"Find all help articles related to 'Pricing'."

Troubleshooting Atlas MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Atlas + LangChain FAQ

Common questions about integrating Atlas MCP Server with LangChain.

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.

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.