Zenkit 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 Zenkit 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="zenkit_agent",
tools=tools,
system_message=(
"You help users with Zenkit. "
"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 Zenkit MCP Server
Connect your Zenkit account to any AI agent to streamline your productivity and project management. This MCP server enables your agent to interact with workspaces, lists (collections), and data entries directly from natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zenkit 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
- Workspace Oversight — List all workspaces and retrieve their constituent lists and metadata
- List Management — Query detailed configurations and field elements for any Zenkit list
- Data Operations — List, retrieve, create, and update entries (items) within your collections
- Field Discovery — Inspect list elements to understand the data structure and field types
- Content Cleanup — Delete entries and maintain your lists directly via natural language commands
The Zenkit 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 Zenkit to AutoGen via MCP
Follow these steps to integrate the Zenkit 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 Zenkit automatically
Why Use AutoGen with the Zenkit MCP Server
AutoGen provides unique advantages when paired with Zenkit through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zenkit tools to solve complex tasks
Role-based architecture lets you assign Zenkit 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 Zenkit tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Zenkit tool responses in an isolated environment
Zenkit + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Zenkit MCP Server delivers measurable value.
Collaborative analysis: one agent queries Zenkit while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Zenkit, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Zenkit data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Zenkit responses in a sandboxed execution environment
Zenkit MCP Tools for AutoGen (8)
These 8 tools become available when you connect Zenkit to AutoGen via MCP:
create_entry
Requires a JSON object with field values. Create a new entry in a list
delete_entry
Delete an entry from a list
get_list_details
Get details for a specific list
get_workspace_details
Get details for a specific workspace
list_elements
List all elements (fields) defined in a list
list_entries
List all entries (items) in a list
list_workspaces
List all workspaces and their lists
update_entry
Update an existing entry
Example Prompts for Zenkit in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Zenkit immediately.
"List all my Zenkit workspaces and their collections."
"Show me all entries in the list with ID '98765'."
"Create a new entry in list '98765' with name 'Finish API documentation'."
Troubleshooting Zenkit MCP Server with AutoGen
Common issues when connecting Zenkit to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Zenkit + AutoGen FAQ
Common questions about integrating Zenkit 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 Zenkit 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 Zenkit to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
