Anyscale MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Anyscale through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Anyscale Assistant",
instructions=(
"You help users interact with Anyscale. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Anyscale"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 7 tools from Anyscale through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Anyscale, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Anyscale MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from Anyscale
Why Use OpenAI Agents SDK with the Anyscale MCP Server
OpenAI Agents SDK provides unique advantages when paired with Anyscale through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Anyscale + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Anyscale MCP Server delivers measurable value.
Automated workflows: build agents that query Anyscale, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Anyscale, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Anyscale tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Anyscale to resolve tickets, look up records, and update statuses without human intervention
Anyscale MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Anyscale to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Anyscale to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Anyscale + OpenAI Agents SDK FAQ
Common questions about integrating Anyscale MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.