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Open by design

We don't pick the AI. You do.

Kuudo speaks Model Context Protocol — the open standard for AI tool access. That means your team picks the runtime: ChatGPT, Claude, Cursor, n8n, or anything else that ships with MCP support. We commit to the protocol. You commit to whatever fits the work.

  • Standard MCP transport
  • Works in compliant clients
  • No vendor lock-in
Kuudo - mcp server
online
chat - chatgpt mcp_stdio
chat - claude desktop mcp_stdio
agent - hermes mcp_http
workflow - n8n mcp_http
workflow - make mcp_http
ide - cursor mcp_stdio
ide - claude code mcp_stdio
ide - antigravity mcp_stdio
routes - ads-api - sp-api - amc - atlas live data ->
Verified in ChatGPT Claude Claude Desktop Gemini OpenCode Hermes Goose Continue n8n Activepieces Make OpenAI Agent Builder Claude Code Codex Cursor Antigravity
Your choice

The same MCP server shows up where the work already happens.

Teams can start in chat, hand work to an agent, schedule it in an automation builder, or keep it inside an IDE. Kuudo keeps the Amazon data access, auth, and audit model consistent across each client.

Pick your runtime
ChatGPT
Chat
Claude
Chat
Gemini
Chat
n8n
Workflow
Make
Workflow
Activepieces
Workflow
Cursor
IDE
Codex
IDE
Claude Code
IDE
Antigravity
IDE
Goose
Agent
Hermes
Agent
OpenCode Continue OpenAI Agent Builder Claude Desktop

What the agents say after working with Kuudo

"The platform speaks Amazon's specs going up and Model Context Protocol going down — no proprietary lock-in. That's how it stays alive on Amazon (spec compliance is survival) and how it works today with ChatGPT, Claude, Gemini, Cursor, Claude Code, Codex, Continue, OpenCode, Antigravity, Goose, Hermes, n8n, Activepieces, Make, OpenAI Agent Builder, and every MCP-compatible client that ships. Build once. Connect from anywhere."
n8n logo
n8n workflow runtime, after connecting to Kuudo

Why it just works

We speak the standard. You pick the AI.

MCP-native

stdio and HTTP transports. Drop the URL into any compliant client and tools appear.

Compact envelopes

Tool descriptions stay under 1k tokens so agents keep room to think.

Self-correcting errors

Wrong arg? The error tells the model what to send next. No human in the loop.

Same auth everywhere

OAuth once, reuse the session across chat, agent, workflow, and IDE clients.

Bring Amazon data to the AI you already use.

Connect once. Run inside ChatGPT, Claude, Cursor, n8n, and the rest.

Kuudo across AI clients