Connect APIs
to AI Agents

Gantz transforms any REST API into an MCP server, giving AI assistants like Claude the power to interact with your services.

SEE IN ACTION
Gantz Dashboard

<5 min

Setup time

99.9%

Uptime SLA

REST API

Any endpoint

JS Scripts

Custom transforms

Free

To get started

Works with Claude.
Both ways.

Build MCP servers visually with Gantz's powerful interface. Connect any REST API and let AI assistants interact with your services seamlessly.

Gantz Visual Builder

Two-way
communication

AI agents can both read from and write to your APIs through MCP tools you define.

Secure
authentication

Support for API keys, OAuth 2.0, and custom auth flows to protect your endpoints.

Multiple
connectors

Connect multiple APIs and organize them into projects for better management.

Instant
deployment

Deploy your MCP server with one click and get a secure URL instantly.

Real-time
analytics

Monitor requests, track latency, and understand how AI uses your tools.

Response
transforms

Transform API responses with JavaScript to format data for AI consumption.

Use any AI SDK.
Connect in minutes.

Connect your MCP server to Claude, GPT, Gemini, or any AI model with just a few lines of code. No complex setup required.

1

Get your MCP endpoint

Copy your unique server URL from the Gantz portal

2

Add to your AI client

Configure the MCP server in your SDK of choice

3

Start using tools

Your AI can now call your API endpoints as tools

AnthropicAnthropic
OpenAIOpenAI
GeminiGemini
SSE streaming
Token auth
Python & JS
MCP 2024-11
mcp_client_anthropic.py
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"]
)

Works with your favorite AI

Connect your MCP servers to any AI that supports the Model Context Protocol

AnthropicAnthropic
OpenAI
OpenAI
GeminiGemini

Why Gantz?

Skip the complexity. Build MCP servers in minutes, not days.

Build Manually

The traditional way

  • Setup TimeDays to weeks
  • Coding RequiredYes
  • MCP KnowledgeRequired
  • HostingSelf-managed
  • SSL & SecurityManual setup
  • AuthenticationBuild yourself
  • MonitoringExtra work
  • MaintenanceOngoing effort
RECOMMENDED

With Gantz

The smarter way

  • Setup Time5 minutes
  • Coding RequiredNo
  • MCP KnowledgeNot needed
  • HostingIncluded
  • SSL & SecurityAutomatic
  • AuthenticationBuilt-in
  • MonitoringIncluded
  • MaintenanceZero

Frequently Asked Questions

What is MCP (Model Context Protocol)?
MCP (Model Context Protocol) is an open protocol developed by Anthropic that enables AI models like Claude, GPT, and Gemini to securely connect to external data sources and tools.
How does Gantz help build MCP servers?
Gantz provides a visual, no-code interface to transform any REST API into an MCP server with instant deployment and hosting.
Do I need coding experience to use Gantz?
No coding experience is required. Gantz offers a visual drag-and-drop builder that handles all technical complexity.
Which AI models are compatible?
Claude, GPT, Gemini, and any other MCP-compatible AI assistants.
Is Gantz free to use?
Yes, Gantz offers a free tier with the visual builder, API connections, and basic hosting included.
How secure are MCP servers built with Gantz?
Token-based authentication ensures only authorized AI clients can access your tools. All connections use HTTPS encryption.
CTA Background

Start Building
Today

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