Anyscale MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Anyscale through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"anyscale": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Anyscale Agent",
instructions:
"You help users interact with Anyscale " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Anyscale?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Anyscale tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Anyscale MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Anyscale via MCP
Why Use Mastra AI with the Anyscale MCP Server
Mastra AI provides unique advantages when paired with Anyscale through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Anyscale without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Anyscale tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Anyscale + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Anyscale MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Anyscale, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Anyscale as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Anyscale on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Anyscale tools alongside other MCP servers
Anyscale MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Anyscale to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Anyscale to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAnyscale + Mastra AI FAQ
Common questions about integrating Anyscale MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.