Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Levo.ai (API Security & Observability)?"
)
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 Levo.ai (API Security & Observability) MCP Server
Connect your Levo.ai account to any AI agent and take full control of your API security posture and runtime observability through natural conversation.
Pydantic AI validates every Levo.ai (API Security & Observability) 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
- Endpoint Orchestration — List all auto-discovered API endpoints (REST, GraphQL, gRPC) and identify undocumented shadow or zombie APIs directly from your agent
- Sensitive Data Audit — Query categorizations for endpoints exposing regulated data flows including PII (names, emails), PHI (medical), and financial boundaries
- Vulnerability Management — Monitor active API security vulnerabilities validating against OWASP boundaries, including BOLA instances and broken authentication
- OpenAPI Generation — Export live, precisely accurate OpenAPI specifications derived immediately from actual observed traffic rather than static manual definitions
- Behavioral Monitoring — Analyze runtime API traffic patterns and anomalous observations detected by live sensors indicating unexpected schema drift
- Diagnostic Investigation — Retrieve detailed diagnostic exploitation evidence for specific vulnerabilities to understand root causes and remediation steps
The Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) to Pydantic AI via MCP
Follow these steps to integrate the Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) with type-safe schemas
Why Use Pydantic AI with the Levo.ai (API Security & Observability) MCP Server
Pydantic AI provides unique advantages when paired with Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Levo.ai (API Security & Observability) connection logic from agent behavior for testable, maintainable code
Levo.ai (API Security & Observability) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Levo.ai (API Security & Observability) MCP Server delivers measurable value.
Type-safe data pipelines: query Levo.ai (API Security & Observability) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Levo.ai (API Security & Observability) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Levo.ai (API Security & Observability) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Levo.ai (API Security & Observability) responses and write comprehensive agent tests
Levo.ai (API Security & Observability) MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Levo.ai (API Security & Observability) to Pydantic AI via MCP:
export_openapi_spec
Export a live auto-generated OpenAPI payload specification for an application
get_endpoint_details
Get deep detailed schema structure for a specific discovered API endpoint
get_observation
Get details of a specific runtime anomalous observation
get_vulnerability
Get detailed diagnostic exploitation evidence for a specific API vulnerability
list_applications
List all API applications (services) tracked by Levo.ai
list_catalog_endpoints
Identifies REST, GraphQL, gRPC, and SOAP endpoints — including undocumented shadow and zombie APIs mapped dynamically. List all discovered API endpoints in the Levo.ai catalog
list_environments
List deployment boundaries environments monitored by Levo active sensors
list_observations
List runtime API behavior observations detected by Levo sensors
list_sensitive_data
List categorized API endpoints exposing sensitive or regulated data flows
list_vulnerabilities
List active API security vulnerabilities discovered across all applications
Example Prompts for Levo.ai (API Security & Observability) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Levo.ai (API Security & Observability) immediately.
"List all discovered API endpoints in our Levo catalog"
"Show me the active OWASP vulnerabilities for the 'Checkout' application"
"Generate a live OpenAPI spec for the 'User Management' service"
Troubleshooting Levo.ai (API Security & Observability) MCP Server with Pydantic AI
Common issues when connecting Levo.ai (API Security & Observability) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiLevo.ai (API Security & Observability) + Pydantic AI FAQ
Common questions about integrating Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.