How do I get a Dixa API Token?

Log in to your Dixa account as an administrator, navigate to **Settings > Integrations > API Tokens**, and click **Create Token**. Note that you may need a specific plan for API access.

Can the agent reply to customers?

This integration currently focuses on listing and auditing conversations, agents, and queues. Sending replies to customers should be managed via the Dixa agent interface.

Does the integration show real-time agent presence?

Yes, you can use the list_service_agents or quick_agent_presence_audit tools to see the current presence status of your support team.

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

Name: Dixa
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Dixa 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({
        "dixa": {
            "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 Dixa, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Dixa MCP Server

Integrate Dixa, the customer friendship platform, directly into your AI workflow. Manage your multi-channel support conversations, monitor agent presence and performance, track service queues, and oversee your support teams using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Dixa 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

Conversation Oversight — List and retrieve detailed information for all customer conversations and their current processing status.
Agent Intelligence — Monitor real-time agent presence, profile details, and team assignments across your organization.
Queue Monitoring — Track active service queues and routing settings to ensure efficient support delivery.
Team Management — List all support teams and identify members assigned to specific organizational units.

The Dixa 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 Dixa to LangChain via MCP

Follow these steps to integrate the Dixa 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 Dixa via MCP

Why Use LangChain with the Dixa MCP Server

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

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

Dixa + LangChain Use Cases

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

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

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

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

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

Dixa MCP Tools for LangChain (10)

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

get_agent_profile

Get full profile and performance data for a specific agent

get_conversation_details

Get detailed information for a specific customer conversation

get_service_account_metadata

Retrieve metadata and usage limits for your Dixa account

list_customer_conversations

List all customer service conversations in your Dixa account

list_open_support_tickets

Identify conversations that are currently in an "Open" or "Unassigned" status

list_service_agents

List all support agents registered in your Dixa organization

list_service_queues

List all active service queues configured in Dixa

list_support_teams

List all configured support teams and their members

quick_agent_presence_audit

Retrieve a high-level summary of active agent presence statuses

search_conversations_by_subject

Search for conversations using a keyword in the subject

Example Prompts for Dixa in LangChain

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

"List all open support conversations."

"Show me the details for conversation '12345'."

"Who is currently available in the 'Sales' team?"

Troubleshooting Dixa MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dixa + LangChain FAQ

Common questions about integrating Dixa 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.