Anyscale MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Anyscale 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="anyscale_agent",
tools=tools,
system_message=(
"You help users with Anyscale. "
"7 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 Anyscale MCP Server
Connect your Anyscale environment to your AI agent and manage both AI inference and backend scalable infrastructure natively through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Anyscale tools. Connect 7 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
- Model Discovery and Querying — List all active foundational models inside your environment and send conversational or zero-shot instruct prompts
- Embeddings Pipeline — Generate semantic vector embeddings for arrays of text inputs directly in-flight
- Services Fleet — Monitor deployed Ray services, fetch cluster states, and map live service endpoint configurations
- Cluster Jobs — Query Ray batch jobs to inspect recent execution statuses and training metrics right from your terminal
The Anyscale MCP Server exposes 7 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 Anyscale to AutoGen via MCP
Follow these steps to integrate the Anyscale 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 7 tools from Anyscale automatically
Why Use AutoGen with the Anyscale MCP Server
AutoGen provides unique advantages when paired with Anyscale through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Anyscale tools to solve complex tasks
Role-based architecture lets you assign Anyscale 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 Anyscale tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Anyscale tool responses in an isolated environment
Anyscale + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Anyscale MCP Server delivers measurable value.
Collaborative analysis: one agent queries Anyscale while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Anyscale, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Anyscale data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Anyscale responses in a sandboxed execution environment
Anyscale MCP Tools for AutoGen (7)
These 7 tools become available when you connect Anyscale to AutoGen via MCP:
chat_completion
Pass an array of messages with roles (user, assistant, system). Generate conversational responses via Anyscale LLMs
generate_embeddings
Generate semantic vector embeddings for text
get_service
Retrieve details about a specific Anyscale service
list_jobs
List Anyscale batch or training jobs
list_models
g., meta-llama/Llama-2-70b-chat-hf). List available AI models on Anyscale Endpoints
list_services
List Anyscale deployed services
text_completion
Use for foundational instruct generation. Generate text completion using Anyscale generic completion API
Example Prompts for Anyscale in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Anyscale immediately.
"List all active models from my Anyscale cluster."
"Check the status of our latest training jobs."
"Generate vector embeddings for the text: 'The sun rises in the east and sets in the west'"
Troubleshooting Anyscale MCP Server with AutoGen
Common issues when connecting Anyscale to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Anyscale + AutoGen FAQ
Common questions about integrating Anyscale 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 Anyscale 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 Anyscale to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.