Bring Distributed Computing
to LangChain
Create your Vinkius account to connect Anyscale to LangChain and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Anyscale MCP Server?
Connect your Anyscale environment to your AI agent and manage both AI inference and backend scalable infrastructure natively through natural conversation.
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
How it works
- Subscribe to this server
- Provide your Anyscale API Key and Base URL
- Interface with your models, services, and Ray cluster via Claude, Cursor, or your favorite MCP agent
Scale up your AI operations without opening terminal panes to check Ray cluster status.
Who is this for?
- AI & MLOps Engineers — automate the inspection of deployed models, jobs, and embeddings safely during CI workflows
- Data Scientists — submit rapid completion tasks to specialized LLMs running inside your Anyscale VPC
- Backend Developers — debug service health metrics and endpoint statuses without navigating the heavy cloud dashboard
Built-in capabilities (7)
Pass an array of messages with roles (user, assistant, system). Generate conversational responses via Anyscale LLMs
Generate semantic vector embeddings for text
Retrieve details about a specific Anyscale service
List Anyscale batch or training jobs
g., meta-llama/Llama-2-70b-chat-hf). List available AI models on Anyscale Endpoints
List Anyscale deployed services
Use for foundational instruct generation. Generate text completion using Anyscale generic completion API
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Anyscale through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine Anyscale MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across Anyscale queries for multi-turn workflows
Anyscale in LangChain
Why run Anyscale with Vinkius?
The Anyscale connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Anyscale using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Anyscale and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Anyscale to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Anyscale for LangChain
Every request between LangChain and Anyscale is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
Is it possible to check whether my training job timed out without opening the Anyscale Dashboard?
Absolutely. Use the list_jobs tool 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.
Can I use Anyscale to process my text chunks into Vectors inside a project pipeline?
Yes. This MCP comes with an explicit generate_embeddings tool 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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
Explore More MCP Servers
View all →
Jina AI (Search Foundation & LLM Grounding)
6 toolsPower your RAG and search via Jina AI — generate embeddings, rerank documents, read URLs, and perform semantic web search.
EBI InterPro
16 toolsClassify protein sequences into families, predict functional domains, and explore evolutionary relationships across species.
Razorpay
12 toolsAutomate online payments via Razorpay — manage orders, payments, and refunds directly from any AI agent.
Atlassian (Jira & Confluence)
9 toolsThe ultimate AI bridge for Jira and Confluence — manage projects, agile boards, and wikis via AI.