Connect your AI
Use one hosted MCP connection in your existing client. The client list and setup guides are below.
https://zambo.dev/api/mcpInstall · Zambo MCP
Choose how to start. Connect an AI through MCP, or call the API directly with a reproducible request. Every successful call returns a verifiable receipt.
Use one hosted MCP connection in your existing client. The client list and setup guides are below.
https://zambo.dev/api/mcpSend the same JSON-RPC shape directly, then follow the returned receipt URL.
curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":"install-direct","method":"tools/call","params":{"name":"zambo_universal","arguments":{"need":"What is the current price of Bitcoin in USD?"}}}'
Python frameworks: langchain-zambo and crewai-zambo.
The official JavaScript client for Zambo tool calls, search, and tool discovery.
npm install zambo-ai · View zambo-ai on npm
const { Zambo } = require('zambo-ai');
const z = new Zambo();
const job = await z.universal('audit https://example.com for AI discoverability', 'my-session-1');
console.log(job.text);
console.log('receipt:', job.receiptId);
const r = await z.call('live_price', { coin: 'ETH' });
const found = await z.search('generate QR code');
const tools = await z.listTools();
https://zambo.dev/api/mcp
“What is the live BTC price right now?”
Look for the result and a /run/ receipt link.
Keep one Zambo MCP connection. Use this URL only when your client asks for a connector address.
https://zambo.dev/api/mcp
Each client has a one-click install action first, an animated guide directly below it, and a connector URL fallback after that.
Prepares the hosted connector setup.
The setup moves from your client to the hosted connector, then to your first request.
claude mcp add --transport http zambo https://zambo.dev/api/mcp
curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | grep -q '"tools"'Downloads a ready-to-use settings file.
The settings file is prepared for Gemini CLI, then you can ask Gemini to confirm the connection.
https://zambo.dev/api/mcp as the hosted server URL.Settings location: ~/.gemini/settings.json.
{"mcpServers":{"zambo":{"httpUrl":"https://zambo.dev/api/mcp"}}}curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | grep -q '"tools"'Opens Cursor's MCP installer.
Cursor opens the installer, adds the hosted server, and returns you to your workspace.
https://zambo.dev/api/mcp as the hosted server URL.Settings location: .cursor/mcp.json.
{"mcpServers":{"zambo":{"url":"https://zambo.dev/api/mcp"}}}curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | grep -q '"tools"'Opens VS Code's MCP installer.
VS Code opens its MCP installer, adds the hosted server, and makes it available in Chat.
https://zambo.dev/api/mcp as the hosted server URL.Settings location: .vscode/mcp.json.
{"servers":{"zambo":{"type":"http","url":"https://zambo.dev/api/mcp"}}}curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | grep -q '"tools"'Copies the connector URL and opens the setup guide.
The connector URL is ready for Cascade, then your AI can confirm the available tools.
https://zambo.dev/api/mcp as the hosted server URL.Settings location: ~/.codeium/windsurf/mcp_config.json.
{"mcpServers":{"zambo":{"serverUrl":"https://zambo.dev/api/mcp"}}}curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | grep -q '"tools"'Copies the hosted connector URL for your client.
Open your client's connector settings, add the hosted URL, and ask your AI to confirm the connection.
https://zambo.dev/api/mcp as the remote MCP server URL.{"mcpServers":{"zambo":{"url":"https://zambo.dev/api/mcp"}}}curl -fsS -X POST https://zambo.dev/api/mcp -H 'Content-Type: application/json' --data '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | grep -q '"tools"'Use these packages to publish verifiable AI agent receipts to zambo.dev from your framework callbacks.
langchain-zambo pip install langchain-zambo: LangChain callbacks that publish verifiable AI agent receipts to zambo.dev.crewai-zambo pip install crewai-zambo: CrewAI listeners that publish verifiable AI agent receipts to zambo.dev.Start a job in one AI client, continue it in another, and verify the same session with a verifiable receipt.