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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Anyscale with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Orchestrate your Anyscale infrastructure. manage LLM queries, vectors, services, and cluster batch jobs directly from your AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Anyscale capability set.

These are the exact actions your AI can choose when you ask it to work with Anyscale.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Anyscale.

  1. 01

    Text completion

    Use for foundational instruct generation. Generate text completion using Anyscale generic completion API

  2. 02

    Get service

    Retrieve details about a specific Anyscale service

  3. 03

    List jobs

    List Anyscale batch or training jobs

  4. 04

    List services

    List Anyscale deployed services

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Anyscale.

  1. 05

    Chat completion

    Pass an array of messages with roles (user, assistant, system). Generate conversational responses via Anyscale LLMs

  2. 06

    Generate embeddings

    Generate semantic vector embeddings for text

  3. 07

    List models

    G., meta-llama/Llama-2-70b-chat-hf). List available AI models on Anyscale Endpoints

Observed, not estimated

827ms average. Fast in production.

Anyscale is checked daily against the live service.

Daily averagePeak 1009ms
Aug 21Today
Fastest day
694ms
Slowest day
1009ms
14-day trend
Improving-25%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Anyscale, so you can see the experience inside your AI.

It does not authenticate your account with Anyscale. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Anyscale Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_TYJFZRqD4R2R9l7bu7Vxd494Pf6ounExJTsky8LF/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Anyscale capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "anyscale-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TYJFZRqD4R2R9l7bu7Vxd494Pf6ounExJTsky8LF/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Anyscale owners ask.

  • 01

    Can I query a Llama 3 model that is locally deployed in Anyscale?

    Yes. First ask the agent to list the available model APIs using list_models so it can grab the precise namespace (e.g. meta-llama/Llama-3-70b-instruct). Then, ask it to run chat_completion pointing at that specific ID. You are now effectively chaining your local agent with an enterprise-sized foundational model in your own VPC.

  • 02

    Is it possible to check whether my training job timed out without opening the Anyscale Dashboard?

    Absolutely. Use the list_jobs capability directly from your chat workflow. It will pull down the state of recent tasks (running, failed, succeeded) alongside metrics. The agent can immediately summarize issues if it sees any errors, saving you a context switch.

  • 03

    Can I use Anyscale to process my text chunks into Vectors inside a project pipeline?

    Yes. This MCP comes with an explicit generate_embeddings capability mapped to your Anyscale endpoints. By providing arrays of chunks, the Anyscale fast backbone will return your high-dimensional vectors. Your custom Agent can wrap this into scripts to hydrate vector databases faster.

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