Ayanza 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 Ayanza 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="Ayanza Assistant",
instructions=(
"You help users interact with Ayanza. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Ayanza"
)
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 Ayanza MCP Server
Orchestrate your team's rhythm with Ayanza, the AI-first project management platform designed for modern velocity. By connecting Ayanza to your AI agent, you transform project oversight from a manual chore into a natural conversation. Your agent gains the power to navigate complex task workflows, access team wikis, and manage project milestones without you ever opening a dashboard. It’s not just about tracking tasks; it’s about giving your agent the context it needs to act as a digital coordinator within your workspace.
The OpenAI Agents SDK auto-discovers all 10 tools from Ayanza through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Ayanza, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Task Orchestration — List, create, update, and delete tasks in Ayanza using natural language through your AI agent.
- Project Oversight — Get a comprehensive view of all projects or dive into specific project details to monitor progress effortlessly.
- Knowledge Retrieval — Access and list wiki pages to quickly find team documentation and shared knowledge.
- Workspace Management — View workspace users to understand team structure and assign tasks effectively.
- Dynamic Updates — Modify task descriptions and statuses in real-time to keep your team aligned and productive.
The Ayanza 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 Ayanza to OpenAI Agents SDK via MCP
Follow these steps to integrate the Ayanza 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 Ayanza
Why Use OpenAI Agents SDK with the Ayanza MCP Server
OpenAI Agents SDK provides unique advantages when paired with Ayanza 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
Ayanza + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Ayanza MCP Server delivers measurable value.
Automated workflows: build agents that query Ayanza, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Ayanza, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Ayanza tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Ayanza to resolve tickets, look up records, and update statuses without human intervention
Ayanza MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Ayanza to OpenAI Agents SDK via MCP:
create_task
Create a new task in Ayanza
delete_task
Delete an Ayanza task
get_me
Get current authenticated user info
get_project
Get details for a specific Ayanza project
get_task
Get details for a specific Ayanza task
list_projects
List projects in Ayanza
list_tasks
List tasks in Ayanza
list_users
List users in the Ayanza workspace
list_wiki_pages
List wiki pages in Ayanza
update_task
Update an existing Ayanza task
Example Prompts for Ayanza in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Ayanza immediately.
"List all my tasks in Ayanza."
"Create a new task called 'Prepare Q4 presentation'."
"Show my wiki pages in Ayanza."
Troubleshooting Ayanza MCP Server with OpenAI Agents SDK
Common issues when connecting Ayanza to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Ayanza + OpenAI Agents SDK FAQ
Common questions about integrating Ayanza 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 Ayanza 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 Ayanza to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.