AI client integration
Connect ChatGPT through MCP Beast — one endpoint, every MCP server.
Connect ChatGPT to one MCP Beast endpoint and reach your whole MCP stack, instead of wiring connectors tool by tool.
The token problem
How MCP setup in ChatGPT normally sprawls.
ChatGPT's connector model means each remote tool integration is set up separately, each with its own authentication. Your local developer tools — and the tokens they need — aren't naturally reachable from ChatGPT at all, so people end up duplicating credentials into yet another surface.
Credential copies in client configs are also a security problem, not just a chore — see the token-passthrough discussion in our MCP security guide.
How it works
Point ChatGPT at one endpoint.
Run the free MCP Beast app on your Mac with your MCP servers connected once, credentials in the macOS Keychain.
Connect ChatGPT to the MCP Beast endpoint as a single MCP integration.
ChatGPT can now use the same governed tool set as your other AI clients — one connection, no per-tool token copies in ChatGPT.
This is the core of the gateway model: clients connect through MCP Beast, servers are connected to it. Read the full picture in the MCP gateway guide.
FAQ
ChatGPT + MCP Beast questions, answered.
Can ChatGPT talk to MCP servers through a gateway?
Yes — MCP Beast exposes one MCP endpoint that ChatGPT connects to, and the gateway routes each request to the right downstream MCP server.
Do I have to give ChatGPT my API keys?
No. ChatGPT only knows the gateway endpoint. The downstream tokens — GitHub PATs, Supabase tokens, and the rest — stay in the macOS Keychain on your machine, held by MCP Beast.
Is the setup different from other clients?
The principle is identical: one gateway entry instead of N server entries. The exact connector flow follows ChatGPT's own MCP connection UI; everything behind the endpoint is managed in MCP Beast.
Get started
Give ChatGPT one endpoint to rule them all.
Walk through routing, credential isolation, and audit for your stack with us.