JustCall MCP Server for LangChainGive LangChain instant access to 12 tools to Create Contact, Get Account Profile, Get Call Details, and more
LangChain is the leading Python framework for composable LLM applications. Connect JustCall 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 MCP Server for LangChain
The JustCall MCP Server for LangChain is a standout in the Customer Support 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
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({
"justcall-alternative": {
"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 JustCall, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 JustCall MCP Server
Connect your JustCall account to any AI agent and manage phone communications through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with JustCall 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.
What you can do
- Call Management — Make outbound calls, track call logs with duration and status
- SMS Messaging — Send text messages to contacts and track delivery
- Contact Database — List contacts, create new entries, and inspect profiles
- Call Recordings — Access call recordings with metadata
- Phone Numbers — List available and assigned phone numbers
- Agent Monitoring — Track agent performance, call volumes, and availability
The JustCall MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 JustCall tools available for LangChain
When LangChain connects to JustCall through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-phone, sms-messaging, call-logging, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create contact on JustCall
Create a new contact
Get account profile on JustCall
Get my profile
Get call details on JustCall
Get call details
Get contact on JustCall
Get contact details
Get message details on JustCall
Get message details
List account numbers on JustCall
List JustCall numbers
List calls on JustCall
List phone calls
List contacts on JustCall
List phone contacts
List messages on JustCall
List SMS/MMS messages
List team users on JustCall
List team members
List webhooks on JustCall
List active webhooks
Send message on JustCall
Send SMS/MMS
Connect JustCall to LangChain via MCP
Follow these steps to wire JustCall into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the JustCall MCP Server
LangChain provides unique advantages when paired with JustCall through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine JustCall 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 JustCall queries for multi-turn workflows
JustCall + LangChain Use Cases
Practical scenarios where LangChain combined with the JustCall MCP Server delivers measurable value.
RAG with live data: combine JustCall tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query JustCall, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain JustCall tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every JustCall tool call, measure latency, and optimize your agent's performance
Example Prompts for JustCall in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with JustCall immediately.
"Show today's call log and send a follow-up SMS to the last caller."
"List all agents, their call volumes, and available phone numbers."
"Show call recordings from this week and the contact database."
Troubleshooting JustCall MCP Server with LangChain
Common issues when connecting JustCall to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersJustCall + LangChain FAQ
Common questions about integrating JustCall MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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