Can my AI automatically add a new lead to BatchDialer?

Yes! Use the `add_lead` action with the contact's name and phone number. Your agent will register the lead in your BatchDialer system instantly.

How do I easily list all recent call logs?

Simply ask the agent to `list_call_logs`. It will compile the history of recent outbound activities, including status and duration.

Does the integration allow starting an active call from the agent?

No. For security and operational safety, the current toolset focuses on management and auditing (listing campaigns, managing leads, checking logs). Initiating live calls must be done through the BatchDialer interface.

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

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 BatchDialer MCP Server

Connect your BatchDialer account to any AI agent and take full control of your sales and outbound calling operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with BatchDialer 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 and inspect all dialing campaigns to monitor active sales operations.
Lead & Contact Control — Add, query, and manage your contacts (leads) to ensure your dialing lists are always up to date.
Call Log Analysis — Retrieve complete call histories, including durations and outcomes (dispositions).
Phone Number Management — Monitor your caller IDs and managed phone numbers directly from the agent.
Outcome Tracking — List and understand call dispositions to categorize lead interactions accurately.

The BatchDialer 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 BatchDialer to LangChain via MCP

Follow these steps to integrate the BatchDialer 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 BatchDialer via MCP

Why Use LangChain with the BatchDialer MCP Server

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

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

BatchDialer + LangChain Use Cases

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

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

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

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

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

BatchDialer MCP Tools for LangChain (10)

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

add_lead

Add a new lead/contact

get_call_details

Get details of a specific call

get_campaign

Get specific campaign details

get_lead

Get specific lead details

get_user_profile

Get authenticated user profile

list_call_logs

List call logs/history

list_campaigns

List all BatchDialer campaigns

list_dispositions

List call outcomes/dispositions

list_leads

List contacts/leads

list_phone_numbers

List managed phone numbers

Example Prompts for BatchDialer in LangChain

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

"List all our active dialing campaigns on BatchDialer."

"Add a new lead: John Doe, phone 555-0199, email john@example.com."

"Show the recent call logs from today."

Troubleshooting BatchDialer MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BatchDialer + LangChain FAQ

Common questions about integrating BatchDialer 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.