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
INSTALL ZAMBO MCP
Install the Zambo MCP.
Start working.
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.
Call the API directly
Send 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.
01 · CONNECTCopy the hosted URL
https://zambo.dev/api/mcp
02 · ASKGive your AI one real job
“What is the live BTC price right now?”
03 · VERIFYCheck the result
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
Pick your client
Each client has a one-click install action first, an animated guide directly below it, and a connector URL fallback after that.
Install Zambo in Claude Code
Prepares the hosted connector setup.
Claude Code
Open Claude Code
Add hosted MCP
Ask Claude to use Zambo
The setup moves from your client to the hosted connector, then to your first request.
Fallback: Tell Claude Code, “Add the Zambo MCP server at https://zambo.dev/api/mcp.”
Advanced setup and verification
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"'Install Zambo in Gemini CLI
Downloads a ready-to-use settings file.
Gemini CLI
Open Gemini CLI
Load MCP settings
Ask Gemini to list tools
The settings file is prepared for Gemini CLI, then you can ask Gemini to confirm the connection.
Fallback: In Gemini CLI MCP settings, use
https://zambo.dev/api/mcp as the hosted server URL.Advanced setup and verification
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"'Install Zambo in Cursor
Install in Cursor
Opens Cursor's MCP installer.
Cursor Settings
Open the installer
Add Zambo
Ask Cursor to use it
Cursor opens the installer, adds the hosted server, and returns you to your workspace.
Fallback: In Cursor MCP settings, use
https://zambo.dev/api/mcp as the hosted server URL.Advanced setup and verification
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"'Install Zambo in VS Code
Install in VS Code
Opens VS Code's MCP installer.
VS Code Chat
Open the installer
Add hosted MCP
Ask Chat to use Zambo
VS Code opens its MCP installer, adds the hosted server, and makes it available in Chat.
Fallback: In VS Code MCP settings, use
https://zambo.dev/api/mcp as the hosted server URL.Advanced setup and verification
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"'Install Zambo in Windsurf
Copies the connector URL and opens the setup guide.
Windsurf Cascade
Open Cascade settings
Add hosted MCP
Ask Cascade to use Zambo
The connector URL is ready for Cascade, then your AI can confirm the available tools.
Fallback: In Windsurf MCP settings, use
https://zambo.dev/api/mcp as the hosted server URL.Advanced setup and verification
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"'Install Zambo in any MCP client
Copies the hosted connector URL for your client.
Your MCP client
Open connector settings
Add the hosted URL
Ask your AI to use Zambo
Open your client's connector settings, add the hosted URL, and ask your AI to confirm the connection.
Fallback: Use
https://zambo.dev/api/mcp as the remote MCP server URL.Advanced setup and verification
{"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"'Python framework integrations
Use these packages to publish verifiable AI agent receipts to zambo.dev from your framework callbacks.
langchain-zambopip install langchain-zambo: LangChain callbacks that publish verifiable AI agent receipts to zambo.dev.crewai-zambopip install crewai-zambo: CrewAI listeners that publish verifiable AI agent receipts to zambo.dev.
Continue the work across AI clients
Start a job in one AI client, continue it in another, and verify the same session with a verifiable receipt.
Read the ZVEB benchmark
Read the cross-AI continuity guide
Browse MCP tools
Answers
Framework integrations
Packaged agent skills
Open the full connection guide
Run a live Zambo call