Impact.com 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 Impact.com 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 Impact.com "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Impact.com?"
)
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 Impact.com MCP Server
Empower your AI agents to manage your partnership ecosystem with Impact.com (formerly Impact Radius). This MCP server allows you to list campaigns, retrieve ad details, track actions and conversions, manage invoices, and view affiliate payouts directly through the Impact API. Ideal for automating partnership marketing and performance monitoring.
Pydantic AI validates every Impact.com 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.
The Impact.com 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 Impact.com to Pydantic AI via MCP
Follow these steps to integrate the Impact.com 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 Impact.com with type-safe schemas
Why Use Pydantic AI with the Impact.com MCP Server
Pydantic AI provides unique advantages when paired with Impact.com 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 Impact.com integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Impact.com connection logic from agent behavior for testable, maintainable code
Impact.com + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Impact.com MCP Server delivers measurable value.
Type-safe data pipelines: query Impact.com with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Impact.com tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Impact.com and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Impact.com responses and write comprehensive agent tests
Impact.com MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Impact.com to Pydantic AI via MCP:
list_actions
Lists all actions (conversions, clicks)
list_ads
Lists all ads in your account
list_campaigns
Lists all partnership campaigns
list_contracts
Lists all partnership contracts
list_invoices
Lists all invoices
list_media_partners
Lists all media partners (affiliates)
list_payouts
Lists all payouts to partners
list_queued_notifications
Lists all queued action notifications
list_transactions
Lists all financial transactions
list_webhooks
Lists all configured webhooks
Example Prompts for Impact.com in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Impact.com immediately.
"List all active partnership campaigns in my Impact.com account."
"Show me recent conversions and actions from today."
"Check for any pending invoices or payouts."
Troubleshooting Impact.com MCP Server with Pydantic AI
Common issues when connecting Impact.com to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiImpact.com + Pydantic AI FAQ
Common questions about integrating Impact.com 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 Impact.com 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 Impact.com to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.