DataDome 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 DataDome 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 DataDome "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in DataDome?"
)
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 DataDome MCP Server
Integrate DataDome, the leading bot protection and fraud prevention solution, directly into your AI workflow. Monitor your web and mobile applications for automated threats, audit protected endpoints, and track real-time protection statistics using natural language.
Pydantic AI validates every DataDome 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
- Threat Monitoring — List and retrieve full details for recently detected bot threats and suspicious activities.
- Endpoint Auditing — Monitor the health and protection status of all your integrated web and mobile endpoints.
- Protection Insights — Access real-time statistics and dashboard data on bot traffic and mitigation.
- Rule Management — List custom bot rules and explore bypass tokens configured in your account.
The DataDome 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 DataDome to Pydantic AI via MCP
Follow these steps to integrate the DataDome 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 DataDome with type-safe schemas
Why Use Pydantic AI with the DataDome MCP Server
Pydantic AI provides unique advantages when paired with DataDome 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 DataDome integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your DataDome connection logic from agent behavior for testable, maintainable code
DataDome + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the DataDome MCP Server delivers measurable value.
Type-safe data pipelines: query DataDome with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple DataDome tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query DataDome and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock DataDome responses and write comprehensive agent tests
DataDome MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect DataDome to Pydantic AI via MCP:
get_bot_traffic_summary
Returns a summary of traffic from "Good Bots" (e.g., search engines) versus "Bad Bots" (e.g., scrapers, scrapers) and their impact on total traffic. Get a summary of bot traffic categorized by type
get_endpoint_health
Returns latency metrics, error rates, and the current operational state of the DataDome integration for the endpoint. Check the health status of a specific protected endpoint
get_protection_stats
Returns real-time counts of allowed vs. blocked requests, captcha pass rates, and identified bot categories. Retrieve real-time protection statistics and dashboard data
get_threat_details
Resolves detailed request headers, behavioral patterns, and the specific detection logic triggered. Get full technical details for a specific threat ID
list_access_logs
Returns a stream of recent requests processed by DataDome, including bot scores, decision outcomes, and geo-location data. List recent access logs filtered by DataDome
list_custom_bot_rules
Returns a list of custom bot detection rules, including match criteria (IP, User-Agent, etc.), action (allow/block/captcha), and rule priority. List all custom blocking and allowing rules
list_protected_applications
Returns application names, API keys (masked), and the types of protection enabled (Web/Mobile/API). List all applications (mobile, web) integrated with DataDome
list_protected_endpoints
Returns metadata including endpoint URLs, protection status, and associated application IDs. List all endpoints protected by DataDome
list_recent_threats
Returns a list of recent security incidents including threat types (e.g., scraping, credential stuffing), origin IPs, and detection timestamps. List recently detected bot threats and suspicious activities
search_threats_by_type
Matches the provided threat type against recent incidents to isolate specific attack vectors like "scraper" or "crawler". Search for recent threats by threat type keyword
Example Prompts for DataDome in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with DataDome immediately.
"List all recent bot threats detected in the last 24 hours."
"Check the health status of our main 'Mobile App' endpoint."
"What is the summary of bot traffic for this week?"
Troubleshooting DataDome MCP Server with Pydantic AI
Common issues when connecting DataDome to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDataDome + Pydantic AI FAQ
Common questions about integrating DataDome 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 DataDome 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 DataDome to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.