Gantz transforms any REST API into an MCP server, giving AI assistants like Claude the power to interact with your services.
SEE IN ACTION
<5 min
Setup time
99.9%
Uptime SLA
REST API
Any endpoint
JS Scripts
Custom transforms
Free
To get started
Build MCP servers visually with Gantz's powerful interface. Connect any REST API and let AI assistants interact with your services seamlessly.

AI agents can both read from and write to your APIs through MCP tools you define.
Support for API keys, OAuth 2.0, and custom auth flows to protect your endpoints.
Connect multiple APIs and organize them into projects for better management.
Deploy your MCP server with one click and get a secure URL instantly.
Monitor requests, track latency, and understand how AI uses your tools.
Transform API responses with JavaScript to format data for AI consumption.
Connect your MCP server to Claude, GPT, Gemini, or any AI model with just a few lines of code. No complex setup required.
Get your MCP endpoint
Copy your unique server URL from the Gantz portal
Add to your AI client
Configure the MCP server in your SDK of choice
Start using tools
Your AI can now call your API endpoints as tools
import anthropic
client = anthropic.Anthropic(api_key=API_KEY)
response = client.beta.messages.create(
model="claude-sonnet-4-5-20250929",
max_tokens=2000,
messages=[{"role": "user", "content": "..."}],
mcp_servers=[{
"type": "url",
"url": "https://mcp.gantz.ai/server/<slug>/sse",
"authorization_token": MCP_AUTH_KEY
}],
betas=["mcp-client-2025-04-04"]
)Connect your MCP servers to any AI that supports the Model Context Protocol
Skip the complexity. Build MCP servers in minutes, not days.
The traditional way
The smarter way


Connect your first API to Claude in minutes.
No credit card required.