DevCycle 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 DevCycle 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="DevCycle Assistant",
instructions=(
"You help users interact with DevCycle. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DevCycle"
)
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 DevCycle MCP Server
Integrate DevCycle, the modern feature flag and experimentation platform, directly into your AI workflow. Manage your feature flags across projects, monitor staging and production environments, and audit targeting rules and variations using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from DevCycle through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DevCycle, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Feature Flag Management — List, search, and retrieve detailed configuration for all your feature flags.
- Environment Oversight — Monitor project environments, retrieve SDK keys, and track deployment statuses.
- Variable & Variation Tracking — List all defined variables and their variations to ensure technical consistency.
- Operational Control — Update feature flag statuses (active/archived) directly via chat.
The DevCycle 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 DevCycle to OpenAI Agents SDK via MCP
Follow these steps to integrate the DevCycle 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 DevCycle
Why Use OpenAI Agents SDK with the DevCycle MCP Server
OpenAI Agents SDK provides unique advantages when paired with DevCycle 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
DevCycle + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DevCycle MCP Server delivers measurable value.
Automated workflows: build agents that query DevCycle, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DevCycle, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DevCycle tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DevCycle to resolve tickets, look up records, and update statuses without human intervention
DevCycle MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect DevCycle to OpenAI Agents SDK via MCP:
get_environment_sdk_keys
List SDK keys for all environments in a project
get_feature_flag_details
Get full configuration and targeting rules for a specific feature flag
get_project_details
Get detailed information for a specific DevCycle project
list_active_flags
Identify feature flags that are currently active
list_devcycle_projects
List all projects in your DevCycle account
list_feature_flags
g. release, ops), and current statuses. List all feature flags within a specific project
list_feature_variables
List all variables defined in a project
list_project_environments
List all environments (e.g. Production, Staging) for a project
search_feature_flags
Search for feature flags in a project by keyword
update_feature_flag_status
Update the status (e.g. active, archived) of a feature flag
Example Prompts for DevCycle in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DevCycle immediately.
"List all feature flags in the project 'Main-App'."
"Show me the configuration for the 'Beta-Feature' flag."
"What are the SDK keys for our 'Production' environment?"
Troubleshooting DevCycle MCP Server with OpenAI Agents SDK
Common issues when connecting DevCycle to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DevCycle + OpenAI Agents SDK FAQ
Common questions about integrating DevCycle 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 DevCycle 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 DevCycle to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.