NinjaCat 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 NinjaCat 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 NinjaCat "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in NinjaCat?"
)
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 NinjaCat MCP Server
Connect your NinjaCat agency account to your AI agent and streamline your marketing reporting and advertiser management through natural conversation.
Pydantic AI validates every NinjaCat 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
- Advertiser Management — List all advertisers managed in your agency and retrieve detailed profiles and account information.
- Report Oversight — Access agency reports, monitor their execution history, and get direct download URLs for the latest generated files.
- Data Source Tracking — List all marketing platforms and connected data accounts (e.g., Google Ads, Facebook Ads) to monitor your ecosystem.
- Campaign Monitoring — View active marketing campaigns across the agency to stay on top of performance.
- Agency Insights — Retrieve high-level information and settings for your NinjaCat agency and current user profile.
- Deep Inspection — Fetch complete metadata for specific advertisers or reports using their unique IDs.
The NinjaCat 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 NinjaCat to Pydantic AI via MCP
Follow these steps to integrate the NinjaCat 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 NinjaCat with type-safe schemas
Why Use Pydantic AI with the NinjaCat MCP Server
Pydantic AI provides unique advantages when paired with NinjaCat 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 NinjaCat integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your NinjaCat connection logic from agent behavior for testable, maintainable code
NinjaCat + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the NinjaCat MCP Server delivers measurable value.
Type-safe data pipelines: query NinjaCat with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple NinjaCat tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query NinjaCat and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock NinjaCat responses and write comprehensive agent tests
NinjaCat MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect NinjaCat to Pydantic AI via MCP:
get_advertiser
Get specific advertiser details
get_agency_info
Get agency metadata
get_me
Get current user details
get_report_download_url
Get report download URL
get_report_history
Get report execution history
list_advertisers
List all advertisers
list_agency_campaigns
List agency marketing campaigns
list_data_accounts
g. specific Google Ads accounts). List connected data accounts
list_data_sources
List active data sources
list_reports
List all agency reports
Example Prompts for NinjaCat in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with NinjaCat immediately.
"List all active advertisers in my NinjaCat agency."
"Show me the execution history for the 'Monthly Performance' report."
"Which marketing data sources are currently connected?"
Troubleshooting NinjaCat MCP Server with Pydantic AI
Common issues when connecting NinjaCat to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNinjaCat + Pydantic AI FAQ
Common questions about integrating NinjaCat 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 NinjaCat 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 NinjaCat to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
