Nyckel ML 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 Nyckel ML 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="nyckel_ml_agent",
tools=tools,
system_message=(
"You help users with Nyckel ML. "
"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 Nyckel ML MCP Server
Connect your Nyckel machine learning account to your AI agent and leverage powerful automated classification and semantic search through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Nyckel ML 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
- Automated Classification — Send text or image URLs to your trained ML functions to get instant predictions and confidence scores.
- Semantic Search — Query your search function galleries to find semantically similar samples based on input data.
- Function Management — List all ML functions in your account and retrieve detailed configuration and metadata.
- Training Oversight — Access the data samples used to train your functions and monitor assigned labels.
- Sample Annotation — Upload new training samples and manually assign or update classification labels.
- Label Discovery — Retrieve the set of all available labels and categories defined for your ML models.
- Account Insights — Access profile and workspace metadata for your authenticated Nyckel account.
The Nyckel ML 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 Nyckel ML to AutoGen via MCP
Follow these steps to integrate the Nyckel ML 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 Nyckel ML automatically
Why Use AutoGen with the Nyckel ML MCP Server
AutoGen provides unique advantages when paired with Nyckel ML through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Nyckel ML tools to solve complex tasks
Role-based architecture lets you assign Nyckel ML 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 Nyckel ML tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Nyckel ML tool responses in an isolated environment
Nyckel ML + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Nyckel ML MCP Server delivers measurable value.
Collaborative analysis: one agent queries Nyckel ML while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Nyckel ML, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Nyckel ML data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Nyckel ML responses in a sandboxed execution environment
Nyckel ML MCP Tools for AutoGen (10)
These 10 tools become available when you connect Nyckel ML to AutoGen via MCP:
annotate_ml_sample
Assign label to a sample
create_ml_sample
Add a training sample
delete_ml_function
Delete an ML function
get_account_info
Get current account info
get_ml_function
Get specific function info
invoke_ml_function
Classify data using a function
list_ml_functions
) in your account. List all ML functions
list_ml_labels
List available labels
list_ml_samples
List training samples
semantic_search
Perform semantic search
Example Prompts for Nyckel ML in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Nyckel ML immediately.
"Classify this text: 'The delivery was very late and the food was cold' using function ID 'func_123'."
"Search my product gallery for an image similar to 'https://example.com/shoe.jpg' using function 'func_search_99'."
"List all the machine learning functions in my Nyckel account."
Troubleshooting Nyckel ML MCP Server with AutoGen
Common issues when connecting Nyckel ML to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Nyckel ML + AutoGen FAQ
Common questions about integrating Nyckel ML 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 Nyckel ML 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 Nyckel ML to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.