Kontak MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Kontak 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
Vinkius supports streamable HTTP and SSE.
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({
"kontak": {
"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 Kontak, 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 Kontak MCP Server
Connect your AI agent to Kontak to automate your customer communications and message auditing.
LangChain's ecosystem of 500+ components combines seamlessly with Kontak 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.
Key Features
- Unified Messaging history — List and audit all sent and received SMS and call logs
- Contact Management — Access and manage your Kontak address book via natural language
- Outbound SMS — Send text messages to customers directly from your chat client
- Template Access — Browse available message templates for consistent communication
- Audit & Analytics — Retrieve system logs and account metadata to monitor performance
Quick Setup
1. Subscribe to this server
2. Log in to your Kontak account, go to API Settings and generate a Bearer Token
3. Enter your token in the configuration panel
4. Start managing your communications via chat
The Kontak 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 Kontak to LangChain via MCP
Follow these steps to integrate the Kontak 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 Kontak via MCP
Why Use LangChain with the Kontak MCP Server
LangChain provides unique advantages when paired with Kontak through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Kontak 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 Kontak queries for multi-turn workflows
Kontak + LangChain Use Cases
Practical scenarios where LangChain combined with the Kontak MCP Server delivers measurable value.
RAG with live data: combine Kontak tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Kontak, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Kontak tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Kontak tool call, measure latency, and optimize your agent's performance
Kontak MCP Tools for LangChain (10)
These 10 tools become available when you connect Kontak to LangChain via MCP:
get_contact_details
Get details for a specific contact
get_kontak_account_info
Get account settings and info
get_kontak_audit_logs
Retrieve system audit logs
get_message_details
Get details for a specific message
list_kontak_contacts
List all contacts
list_kontak_messages
List all sent and received messages
list_kontak_tags
List all contact tags
list_kontak_templates
List available message templates
list_kontak_webhooks
List configured webhooks
send_outbound_sms
Send a new SMS message
Example Prompts for Kontak in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Kontak immediately.
"List the last 5 messages from my Kontak account"
"Send an SMS to +1987654321 saying 'Hello from AI'"
"Find contact named 'Robert'"
Troubleshooting Kontak MCP Server with LangChain
Common issues when connecting Kontak to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKontak + LangChain FAQ
Common questions about integrating Kontak 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?
Connect Kontak with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kontak to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.