AgentFire MCP Server for LangChainGive LangChain instant access to 10 tools to Check Agentfire Status, Create Lead, Get Lead, and more
LangChain is the leading Python framework for composable LLM applications. Connect AgentFire 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 App Connector for LangChain
The AgentFire app connector for LangChain is a standout in the Real Estate category — giving your AI agent 10 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({
"agentfire": {
"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 AgentFire, 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 AgentFire MCP Server
Connect your AgentFire account to any AI agent and take full control of your real estate website and automated lead capture workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with AgentFire 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
- Lead Portfolio Orchestration — List and manage all captured property inquiries programmatically, retrieving detailed lead profile metadata and contact tags
- Web Engagement Intelligence — Programmatically monitor property clicks and access engagement metadata to coordinate your sales follow-up strategy
- Property Graph Monitoring — Access real-time updates for active listings and track user interaction duration directly through your agent for instant reporting
- Metadata Management — Programmatically retrieve interest signals and search history to maintain a perfectly coordinated CRM record
- Operational Monitoring — Verify account-level API connectivity and monitor lead capture volume directly through your agent for perfectly coordinated service scaling
The AgentFire 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.
All 10 AgentFire tools available for LangChain
When LangChain connects to AgentFire through Vinkius, your AI agent gets direct access to every tool listed below — spanning property-listings, real-estate-marketing, lead-capture, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify AgentFire API connectivity
Email is required. Create a new lead
Get lead details
Get listing details
Get your AgentFire profile
List all contacts
List all leads
List all property listings
Search property listings
Only provided fields are changed. Update a lead
Connect AgentFire to LangChain via MCP
Follow these steps to wire AgentFire into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 AgentFire MCP Server
LangChain provides unique advantages when paired with AgentFire through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AgentFire 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 AgentFire queries for multi-turn workflows
AgentFire + LangChain Use Cases
Practical scenarios where LangChain combined with the AgentFire MCP Server delivers measurable value.
RAG with live data: combine AgentFire tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AgentFire, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AgentFire tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AgentFire tool call, measure latency, and optimize your agent's performance
Example Prompts for AgentFire in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with AgentFire immediately.
"List all new leads captured in AgentFire this week."
"Show the property interest for lead ID 'lead_123'."
"Check for any active listings with zero engagement this month."
Troubleshooting AgentFire MCP Server with LangChain
Common issues when connecting AgentFire to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAgentFire + LangChain FAQ
Common questions about integrating AgentFire 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.