AgentFire MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Agentfire Status, Create Lead, Get Lead, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AgentFire as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The AgentFire app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to AgentFire. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in AgentFire?"
)
print(response)
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.
LlamaIndex agents combine AgentFire tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire AgentFire into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the AgentFire MCP Server
LlamaIndex provides unique advantages when paired with AgentFire through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AgentFire tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AgentFire tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AgentFire, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AgentFire tools were called, what data was returned, and how it influenced the final answer
AgentFire + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AgentFire MCP Server delivers measurable value.
Hybrid search: combine AgentFire real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AgentFire to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AgentFire for fresh data
Analytical workflows: chain AgentFire queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AgentFire in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting AgentFire to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAgentFire + LlamaIndex FAQ
Common questions about integrating AgentFire MCP Server with LlamaIndex.