Equixly 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 Equixly 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 Equixly "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Equixly?"
)
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 Equixly MCP Server
Connect your Equixly account to any AI agent and take full control of your autonomous API security testing and vulnerability management through natural conversation.
Pydantic AI validates every Equixly 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
- Autonomous Pentest Orchestration — Launch new attack sessions where the Equixly AI Hacker autonomously explores and attacks your API for BOLA, IDOR, and injection flaws
- Service Management — Register and manage target API services by defining base URLs and granular path-scoping rules for continuous monitoring
- API Surface Discovery — Upload and manage API specifications (OpenAPI, GraphQL, Postman) to broaden the attack surface known to the AI Hacker
- Vulnerability Auditing — Retrieve detailed lists of confirmed exploitable security flaws with severity ratings, OWASP mapping, and remediation guidance
- Scan Status Monitoring — Track execution progress and overall outcomes of active penetration tests, including total requests and endpoints explored
- Remediation Oversight — Access evidence of exploitation for specific findings to validate security fixes and maintain production safety
- Target Configuration — Fetch granular metadata for API targets, including authentication hooks and production safety toggles natively
The Equixly 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 Equixly to Pydantic AI via MCP
Follow these steps to integrate the Equixly 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 Equixly with type-safe schemas
Why Use Pydantic AI with the Equixly MCP Server
Pydantic AI provides unique advantages when paired with Equixly 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 Equixly integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Equixly connection logic from agent behavior for testable, maintainable code
Equixly + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Equixly MCP Server delivers measurable value.
Type-safe data pipelines: query Equixly with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Equixly tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Equixly and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Equixly responses and write comprehensive agent tests
Equixly MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Equixly to Pydantic AI via MCP:
create_service
Provide the human-readable name and the live base URL. After creation, upload an API spec to maximize attack surface coverage. Register a new API target service for autonomous pentesting
delete_service
Use when decommissioning an API or cleaning up test environments. This action is irreversible. Remove an API service and all its scan history from Equixly
get_scan
Includes total requests made, endpoints explored, attack vectors attempted, severity breakdown of findings (critical/high/medium/low), and OWASP Top 10 mapping. Get detailed status and summary of a specific pentest scan
get_scan_findings
Each finding includes a severity rating, OWASP category, affected endpoint path, HTTP method, request/response evidence of exploitation, and actionable remediation guidance. Download all exploitable vulnerabilities found in a pentest scan
get_service
Required before modifying scan behavior. Get detailed configuration of a specific API service
list_api_specs
The AI Hacker uses these specs to understand the full attack surface, so keeping them updated maximizes vulnerability discovery coverage. List uploaded API specifications for a service
list_scans
Each scan entry includes its status (running, completed, failed), timestamps, and the total count of vulnerabilities detected in that session. List all pentest scan sessions for an API service
list_services
A Service represents a single API base URL that the autonomous AI pentester continuously attacks. Each service contains its unique ID, name, base URL, and the number of discovered endpoints. List all registered API services in Equixly
trigger_scan
It tests for BOLA, broken authentication, mass assignment, IDOR, injection, and business logic flaws. Ideal for CI/CD pipeline integration upon each deployment. Launch a new autonomous AI penetration test against a service
upload_api_spec
Supported formats: openapi (JSON/YAML), postman, graphql, wsdl, har. Pass the raw spec content as a string along with the format identifier. Upload an API specification (OpenAPI, Postman, etc.) to a service
Example Prompts for Equixly in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Equixly immediately.
"Trigger a security scan for API service 'Billing-v1'"
"Show me the critical findings from the latest scan of service 'Payments'"
"List all registered API target services"
Troubleshooting Equixly MCP Server with Pydantic AI
Common issues when connecting Equixly to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEquixly + Pydantic AI FAQ
Common questions about integrating Equixly 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 Equixly 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 Equixly to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
