What is MCP Agent Studio?

MCP Agent Studio is a browser-based AI agent that connects to any Model Context Protocol (MCP) server and lets you query your data in plain English using 30+ AI models including Claude, GPT-5, Gemini, DeepSeek, Mistral, Grok, Qwen, NVIDIA Nemotron, and more. Sign up for free — no credit card required.

Do I need to write code to use MCP Agent Studio?

No. MCP Agent Studio is a no-code interface. You paste your MCP server URL, pick an AI model, and start chatting. The agent discovers the available tools automatically and calls them for you as needed.

Which AI models can I use with MCP Agent Studio?

You can use 30+ models from every major provider, including Claude Opus 4.6, Claude Sonnet 4.6, GPT-5.4, GPT-4o, Gemini 3.1 Pro, DeepSeek V3, Mistral Small 2603, Grok 4, Qwen 3, NVIDIA Nemotron Super 120B, Google Gemma 4, Z.AI GLM 4.5 Air, and more. You can switch models mid-conversation to compare responses on the same task.

What is an MCP server and do I need one?

An MCP server is a lightweight service that exposes tools (functions, database queries, API calls) over the Model Context Protocol so any AI agent can use them. Popular public MCP servers include GitHub, Supabase, Notion, Slack, Stripe, Postgres, Linear, and Playwright. You can also connect your own custom MCP server over HTTP, SSE, or Streamable HTTP.

How does pricing work?

MCP Agent Studio is free to sign up — no credit card required. Running AI models costs credits, which you can purchase in packs from your Settings page. New accounts may receive a small starter credit to try the product. Credit costs vary by model; check the Settings › Credits page for current pricing.

Can I query my own database with MCP Agent Studio?

Yes. Connect the official Postgres or Supabase MCP server (or any MCP server that wraps your database) and ask questions in plain English: "Show me my top 10 customers by revenue this month." The AI generates the SQL, runs it through the MCP server, and returns the results with a natural-language summary.

How is this different from ChatGPT or Claude Desktop?

Claude Desktop only works with Claude. ChatGPT only works with OpenAI models. MCP Agent Studio works with any model from any provider — swap between Claude, GPT, Gemini, DeepSeek, and Grok on the same MCP server without re-configuring anything. It also runs entirely in your browser with no local installation.

Your MCP server credentials stay in your browser session and are never stored on our servers. Conversations are scoped to your Supabase-authenticated organization. We never train on your data, and you can delete your history at any time from Settings.

Can I compare multiple AI models on the same task?

Yes — this is one of the core reasons people use MCP Agent Studio. Run the same prompt against Claude, GPT-5, and Gemini side by side, inspect every tool call in the live trace panel, and find the cheapest model that still gives great results. Teams routinely cut inference costs 5–10× this way.

What MCP servers work with Agent Studio?

Any MCP server that speaks HTTP, SSE, or Streamable HTTP. That includes official servers for GitHub, Supabase, Postgres, Notion, Slack, Stripe, Linear, Playwright, Filesystem, Memory, Sequential Thinking, and hundreds of community servers. You can also point it at your own custom server deployed on Cloudflare Workers, Vercel, Fly, or anywhere else.

Do you have pre-built templates I can use?

Yes. MCP Agent Studio ships with ready-to-run templates covering Notion, GitHub, Amazon Ads, Jira, Confluence, Sentry, HubSpot, Stripe, Linear, Slack, Supabase, Vercel, Shopify, Cloudflare, Zapier, and more — including multi-server combos like GitHub + Vercel + Sentry and Amazon Ads + Stripe for blended ROAS. Pick a template, add your access token, and start chatting in seconds. Browse all templates at /templates.

Can I save an agent configuration and reuse it?

Yes. Once you set up a model, one or more MCP servers, and a system prompt, you can save the whole configuration as a named agent with one click. Open it again any time from "My Agents" — your servers, tools and model selection are all restored. Agents can be private or shared with your team.

Can I compare multiple AI models on the same MCP task?

Yes. Compare Models runs the same prompt across 2–4 models in parallel and shows you a side-by-side grid: tool-call accuracy, latency, token usage and final output. This is the fastest way to find the cheapest model that still gives great results on your specific MCP server — teams regularly cut inference costs 5–10× this way.

Can I export my agent as code?

Export is coming soon. Save your agent and open Export in the studio toolbar to preview a Next.js App Router layout or a Python starter (MCP wiring, prompts, .env.example, deploy targets). Downloadable ZIP packs and one-click deploy will ship in a follow-up release; until then you can explore the preview and recreate wiring manually if you self-host.

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MCP Agent Studio demo: picking a model, attaching an MCP server, and watching the agent call tools in real time.

MCP Agent Studio — Multi-Model MCP Client · Start for Free | MCP Playground