Sunsama MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Sunsama 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="sunsama_agent",
tools=tools,
system_message=(
"You help users with Sunsama. "
"8 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 Sunsama MCP Server
Integrate the mindful focus of the Sunsama daily planner directly into your conversational AI environment. Empower your engineering or administrative focus by allowing your LLM to intuitively pull tasks, filter backlog activities, and assign contexts dynamically without constant tab-switching. With this MCP connector attached securely to your workspace, your conversational agent functions as an objective scheduling assistant, seamlessly tracking and resolving your agenda.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Sunsama tools. Connect 8 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
- Agenda Discovery — Query your scheduled events actively using
list_tasksand retrieve deep contextual dependencies of an item utilizingget_task_details. - Task Orchestration — Add new action items seamlessly via
create_taskor modify ongoing assignments intuitively usingupdate_task. - Taxonomy Mapping — Review your organizational frameworks executing
list_channelsandlist_contextsto accurately file items according to team domains. - Profile Confirmations — Safely extract your user metadata boundaries and operational statuses natively invoking
get_user_profile.
The Sunsama MCP Server exposes 8 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 Sunsama to AutoGen via MCP
Follow these steps to integrate the Sunsama 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 8 tools from Sunsama automatically
Why Use AutoGen with the Sunsama MCP Server
AutoGen provides unique advantages when paired with Sunsama through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Sunsama tools to solve complex tasks
Role-based architecture lets you assign Sunsama 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 Sunsama tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Sunsama tool responses in an isolated environment
Sunsama + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Sunsama MCP Server delivers measurable value.
Collaborative analysis: one agent queries Sunsama while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Sunsama, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Sunsama data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Sunsama responses in a sandboxed execution environment
Sunsama MCP Tools for AutoGen (8)
These 8 tools become available when you connect Sunsama to AutoGen via MCP:
create_task
Provide text and an optional planned date. Creates a new task in Sunsama
delete_task
This action is irreversible. Permanently deletes a task
get_task_details
Retrieves details for a specific task
get_user_profile
Retrieves the current user profile
list_channels
g., "Work", "Personal"). Lists available Sunsama channels
list_contexts
Lists available Sunsama contexts
list_tasks
You can filter by date. Lists all tasks in Sunsama
update_task
Updates an existing task
Example Prompts for Sunsama in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Sunsama immediately.
"List my tasks for today, complete the design review, and schedule a documentation update for next Monday."
"Read my custom organizational domains running `list_channels` securely, and pull contextual details applying `list_contexts` effectively."
"Verify my identity token evaluating the API user profile comprehensively."
Troubleshooting Sunsama MCP Server with AutoGen
Common issues when connecting Sunsama to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Sunsama + AutoGen FAQ
Common questions about integrating Sunsama 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 Sunsama 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 Sunsama to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
