Ayanza MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Ayanza as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="ayanza_agent",
tools=tools,
system_message=(
"You help users with Ayanza. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Ayanza tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Ayanza MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Ayanza automatically
Why Use AutoGen with the Ayanza MCP Server
AutoGen provides unique advantages when paired with Ayanza through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Ayanza tools to solve complex tasks
Role-based architecture lets you assign Ayanza tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Ayanza tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Ayanza tool responses in an isolated environment
Ayanza + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Ayanza MCP Server delivers measurable value.
Collaborative analysis: one agent queries Ayanza while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Ayanza, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Ayanza data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Ayanza responses in a sandboxed execution environment
Ayanza MCP Tools for AutoGen (10)
These 10 tools become available when you connect Ayanza to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Ayanza to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Ayanza + AutoGen FAQ
Common questions about integrating Ayanza MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Ayanza with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.