Integrate Baseten with Claude, Cursor, Chatbots & AI Agents MCP Server

Manage your Baseten AI models — orchestrate deployments, list secrets, and run serverless inference predictions autonomously.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get deployment on Baseten

Get explicit details of a running deployment

get

Get model on Baseten

Get a specific Baseten model

list

List deployments on Baseten

List active inferences bounds matching a specific model

list

List models on Baseten

List Baseten managed models

list

List secrets on Baseten

List securely managed workspace secrets without showing values

action

Predict on Baseten

Formulate the explicit tensor shapes or dictionaries strictly matching the deployed instance. Invoke a serverless model inference prediction

Security & Code Integrity Audit

Every tool in the Baseten MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

Is my workspace and environmental secret data kept safe?

Baseten secret fetching natively obscures variable values. When you use 'list_secrets', the agent simply evaluates the key names and identifiers existing across your environment to verify configurations without exposing plaintext passwords.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What can AI Agents do with Baseten?

We map standard API endpoints to agent-compatible instructions. Connect Baseten to execute these core functional operations.

Next-Gen model deployment Automation

Use the Baseten server to execute model deployment operations from your AI agent. The protocol manages state and authentication for continuous ai frontier workflows.

Automating inference api with AI

Add inference api functionality to your custom chatbots. The Baseten MCP handles the payload formatting required for ChatGPT and Claude to interface with ai frontier endpoints.

Baseten. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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