CallFire MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect CallFire 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({
"callfire": {
"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 CallFire, 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 CallFire MCP Server
Connect your CallFire account to any AI agent and orchestrate your voice and SMS communications, campaign tracking, and contact engagement through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with CallFire 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
- SMS Dispatch — Send single or bulk SMS messages to your customers directly from your workspace.
- Voice Call Management — Trigger individual voice calls and monitor the status of sent calls in real-time.
- Campaign Oversight — List and retrieve metadata for your campaign sounds and verify your communication setups.
- Keyword Management — List and monitor your rented keywords for SMS interaction.
- Automation Tracking — Access and monitor your active webhooks to ensure your integrations are healthy.
- Account Insights — Retrieve core profile and site information straight from your workspace.
The CallFire 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 CallFire to LangChain via MCP
Follow these steps to integrate the CallFire 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 CallFire via MCP
Why Use LangChain with the CallFire MCP Server
LangChain provides unique advantages when paired with CallFire through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CallFire 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 CallFire queries for multi-turn workflows
CallFire + LangChain Use Cases
Practical scenarios where LangChain combined with the CallFire MCP Server delivers measurable value.
RAG with live data: combine CallFire tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CallFire, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CallFire tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CallFire tool call, measure latency, and optimize your agent's performance
CallFire MCP Tools for LangChain (10)
These 10 tools become available when you connect CallFire to LangChain via MCP:
get_account_info
Retrieve core account information
get_call_details
Get details of a specific call
get_sms_details
Get details of a specific SMS
list_calls
List made voice calls
list_campaign_sounds
List configured campaign sounds
list_keywords
List rented keywords
list_sent_sms
List sent SMS messages
list_webhooks
List active webhooks
send_sms
Send an SMS message
send_voice_call
Trigger a single voice call
Example Prompts for CallFire in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with CallFire immediately.
"Send an SMS to +1234567890 saying 'Hi from Vinkius'."
"List my last 5 voice calls in CallFire."
"Show the details for SMS with ID 99283."
Troubleshooting CallFire MCP Server with LangChain
Common issues when connecting CallFire to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCallFire + LangChain FAQ
Common questions about integrating CallFire 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 CallFire 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 CallFire to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
