Perfecto MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Perfecto through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Perfecto Assistant",
instructions=(
"You help users interact with Perfecto. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Perfecto"
)
print(result.final_output)
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 Perfecto MCP Server
Control quality testing automation instances seamlessly connecting LLM parameters directly bounding your Perfecto Cloud. Retrieve precise matrix tracking devices explicitly parsing metadata, lookup explicitly bounded execution logs driving advanced tracking boundaries securely seamlessly efficiently. Automate evaluation boundaries querying Smart Reporting natively natively analyzing testing matrices confidently bypassing manual legacy UI navigation.
The OpenAI Agents SDK auto-discovers all 10 tools from Perfecto through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Perfecto, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Device State Discovery — Explore testing grids tracking device topologies fetching available Android/iOS instances tracking native limits gracefully
- Execution Diagnostics — Evaluate structural loops mapping testing histories checking bounds isolating failed loops parsing native status parameters perfectly
- Repository Traceability — Read explicit bounds searching exact artifacts tracking storage buckets safely seamlessly verifying native dependencies natively
- Smart Reporting Audits — Extract logical limits processing advanced JSON outputs mapping comprehensive test validations checking explicit step counts confidently
The Perfecto MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Perfecto to OpenAI Agents SDK via MCP
Follow these steps to integrate the Perfecto MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Perfecto
Why Use OpenAI Agents SDK with the Perfecto MCP Server
OpenAI Agents SDK provides unique advantages when paired with Perfecto through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Perfecto + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Perfecto MCP Server delivers measurable value.
Automated workflows: build agents that query Perfecto, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Perfecto, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Perfecto tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Perfecto to resolve tickets, look up records, and update statuses without human intervention
Perfecto MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Perfecto to OpenAI Agents SDK via MCP:
get_device_details
Get full details of a Perfecto device including model, OS, firmware, manufacturer, resolution, location, and current status
get_execution_details
Get status of a Perfecto execution by ID. Returns status, progress, device assignments, and timestamps
get_license_info
Get Perfecto license information. Returns license type, device limits, concurrent executions, and expiration
get_report_summary
Get Smart Reporting summary for a Perfecto execution. Returns test results, pass/fail counts, video/screenshot links, and detailed step data
list_artifacts
List artifacts in Perfecto repository at a given path. Includes apps, scripts, images, and data files
list_device_groups
List device groups on Perfecto. Groups organize devices by type/OS/team. Returns group names and member devices
list_devices
List all available devices on Perfecto Cloud. Perfecto (by Perforce) is an enterprise mobile and web testing cloud with real devices and browsers. Returns device IDs, models, OS versions, manufacturers, locations, and availability statuses
list_executions
List current/recent executions on Perfecto. Returns execution IDs, statuses, script names, devices used, and timestamps
list_reservations
List device reservations on Perfecto. Returns reservation IDs, devices, users, start/end times
list_users
List all users on the Perfecto cloud. Returns usernames, roles, emails, and access levels
Example Prompts for Perfecto in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Perfecto immediately.
"Check matrices explicitly parsing structural targets querying `list_devices` globally discovering bounded limits seamlessly tracking iPhones safely."
"Execute validation tracking executions fetching deeply the report natively checking explicit execution ID 'exe_909' bounds accurately gracefully carefully natively."
Troubleshooting Perfecto MCP Server with OpenAI Agents SDK
Common issues when connecting Perfecto to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Perfecto + OpenAI Agents SDK FAQ
Common questions about integrating Perfecto MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Perfecto 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 Perfecto to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.