LeadsRx MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect LeadsRx through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 LeadsRx "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in LeadsRx?"
)
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 LeadsRx MCP Server
Connect your LeadsRx account to your AI agent and gain deep insights into your marketing performance and customer journeys through natural conversation.
Pydantic AI validates every LeadsRx tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Campaign Analysis — Retrieve attribution results for specific marketing campaigns to understand ROI and performance.
- Conversion Tracking — List all defined conversions and programmatically add new conversion events.
- Touchpoint & Channel Insights — Access and list your marketing touchpoints and top-level channels to see where your customers are coming from.
- Ecosystem Oversight — List associated marketing agencies and advertisers managed under your profile.
- Deep Inspection — Fetch detailed metadata and performance metrics for specific touchpoints or conversions.
The LeadsRx MCP Server exposes 10 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.
How to Connect LeadsRx to Pydantic AI via MCP
Follow these steps to integrate the LeadsRx MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from LeadsRx with type-safe schemas
Why Use Pydantic AI with the LeadsRx MCP Server
Pydantic AI provides unique advantages when paired with LeadsRx 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 LeadsRx integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your LeadsRx connection logic from agent behavior for testable, maintainable code
LeadsRx + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the LeadsRx MCP Server delivers measurable value.
Type-safe data pipelines: query LeadsRx with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple LeadsRx tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query LeadsRx and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock LeadsRx responses and write comprehensive agent tests
LeadsRx MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect LeadsRx to Pydantic AI via MCP:
add_conversion
Add a new conversion event
get_campaign_results
Get attribution results for a campaign
get_conversion_details
Get specific conversion info
get_touchpoint_details
Get specific touchpoint details
list_advertisers
List connected advertisers
list_agencies
List associated marketing agencies
list_campaigns
List marketing campaigns
list_channels
g., Social, Search, Email) defined in your account. List marketing channels
list_conversions
List all LeadsRx conversions
list_touchpoints
List marketing touchpoints
Example Prompts for LeadsRx in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with LeadsRx immediately.
"Get the attribution results for campaign 'Q1-SOCIAL-AD'."
"List all our active marketing campaigns."
"Show me our marketing channels and touchpoints."
Troubleshooting LeadsRx MCP Server with Pydantic AI
Common issues when connecting LeadsRx to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiLeadsRx + Pydantic AI FAQ
Common questions about integrating LeadsRx 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect LeadsRx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LeadsRx to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.