ProspectX MCP Server for Pydantic AIGive Pydantic AI instant access to 17 tools to Check Prospectx Status, Create Lead, Create Property List, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ProspectX through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The ProspectX app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ProspectX "
"(17 tools)."
),
)
result = await agent.run(
"What tools are available in ProspectX?"
)
print(result.data)
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.
Pydantic AI validates every ProspectX tool response against typed schemas, catching data inconsistencies at build time. Connect 17 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire ProspectX into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the ProspectX MCP Server
Pydantic AI provides unique advantages when paired with ProspectX through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ProspectX integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ProspectX connection logic from agent behavior for testable, maintainable code
ProspectX + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ProspectX MCP Server delivers measurable value.
Type-safe data pipelines: query ProspectX with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ProspectX tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ProspectX and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ProspectX responses and write comprehensive agent tests
Example Prompts for ProspectX in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting ProspectX to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiProspectX + Pydantic AI FAQ
Common questions about integrating ProspectX MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.