How to Use the CallFire MCP in LangChain

Q: How do I trigger a CallFire voice call from a LangChain agent?

You pass the sendvoicecall tool to your agent's toolset. When the agent meets your programmed criteria, it fires the call request instantly.

Q: Can LangChain keep a log of my CallFire SMS history?

Yes, your agent can call listsentsms to pull your recent message history. It then processes that data to track delivery or engagement.

Build voice and SMS chains in LangChain. Connect your agents to CallFire for automated messaging pipelines.

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Connect CallFire MCP to LangChain

Create your Vinkius account to connect CallFire to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CallFire with LangChain

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Claude

Perplexity

Trigger CallFire voice and SMS in LangChain

Chain your logic to fire off communication tasks without manual intervention. Use `send_sms` or `send_voice_call` to push alerts directly from your agent logic. This MCP server treats your account as a node in a LangGraph workflow. You get full visibility into every message sent or call placed through LangSmith traces.

Audit CallFire records inside LangChain

Pull raw data from your account to inform your agent's next move. The `list_calls` and `list_sent_sms` tools give your agent a clear history of what actually happened. Your chain can evaluate these logs to decide if a follow-up message is necessary. It turns historical records into active inputs for your decision trees.

Manage CallFire assets using LangChain

Keep your campaign settings synced with your agent's current state. The `list_campaign_sounds` tool lets your agent check what audio files are ready for playback. Your agent can verify active keywords with `list_keywords` before initiating any automated outreach. This keeps your messaging strategy aligned with your account configuration.

Setup guide

Set up CallFire MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes CallFire tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "callfire-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent CallFire transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CallFire. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CallFire MCP in LangChain

You pass the `send_voice_call` tool to your agent's toolset. When the agent meets your programmed criteria, it fires the call request instantly.

Yes, your agent can call `list_sent_sms` to pull your recent message history. It then processes that data to track delivery or engagement.

Absolutely. You can aggregate this server with others in your MCP client configuration to build complex, multi-modal workflows.

It acts as a secure bridge that requests only the specific message and call logs you ask for. Your account tokens are stored locally on your machine, never on our servers.

Your data stays private because this MCP server operates in a sandbox. We don't log your API keys or account credentials when you pull your call history.

Use it with your favorite AI tools

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