ProspectX MCP Server for LlamaIndexGive LlamaIndex instant access to 17 tools to Check Prospectx Status, Create Lead, Create Property List, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ProspectX 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 ProspectX app connector for LlamaIndex is a standout in the Real Estate category — giving your AI agent 17 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 ProspectX. "
"You have 17 tools available."
),
)
response = await agent.run(
"What tools are available in ProspectX?"
)
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 ProspectX MCP Server
Accelerate your real estate investing with an AI agent connected directly to ProspectX. Stop manually switching between lists and skip tracing tools—your agent can automatically find property owner contact info, filter distressed properties, and trigger targeted direct mail campaigns seamlessly.
LlamaIndex agents combine ProspectX tool responses with indexed documents for comprehensive, grounded answers. Connect 17 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
- Filter and search for highly motivated seller leads
- Run instant skip tracing to discover owner phone numbers and emails
- Search properties by address, vacancy status, or type
- Manage and organize direct mail campaign lists
- Track the delivery and response rates of your marketing efforts
Who is it for?
Designed for real estate investors, wholesalers, and acquisitions teams looking to automate their lead generation and outreach at scale.The ProspectX MCP Server exposes 17 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 17 ProspectX tools available for LlamaIndex
When LlamaIndex connects to ProspectX through Vinkius, your AI agent gets direct access to every tool listed below — spanning skip-tracing, property-data, direct-mail, 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 connectivity
Create a lead
Create a list
Get campaign details
Get dashboard
Get lead details
Get property details
Get list details
List campaigns
List all leads
Filter leads by status
List properties
Filter properties by type
List property lists
Search properties
Skip trace a property
Update a lead
Connect ProspectX to LlamaIndex via MCP
Follow these steps to wire ProspectX 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 ProspectX MCP Server
LlamaIndex provides unique advantages when paired with ProspectX through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ProspectX tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ProspectX tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ProspectX, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ProspectX tools were called, what data was returned, and how it influenced the final answer
ProspectX + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ProspectX MCP Server delivers measurable value.
Hybrid search: combine ProspectX real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ProspectX 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 ProspectX for fresh data
Analytical workflows: chain ProspectX queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ProspectX in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ProspectX immediately.
"Run a skip trace on the property at 123 Main Street to find the owner's contact info"
"Find all vacant properties in the database for a targeted mailing campaign"
"Show all hot leads that are ready for follow-up in ProspectX"
Troubleshooting ProspectX MCP Server with LlamaIndex
Common issues when connecting ProspectX to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpProspectX + LlamaIndex FAQ
Common questions about integrating ProspectX MCP Server with LlamaIndex.