MCP Access Point

MCP Access Point is a small helper program that sits between your AI assistant and web services you already use. It lets your AI talk to those services even if they were never built for AI. This is handy if you or your team have an internal tool or public API and want your AI to use it.

What this MCP server does

You ask your AI something that needs information from a web service. Your AI passes the request to MCP Access Point. The access point translates that request into a normal web call and sends it to the service you configured, like a weather API or an internal tool. The service answers, and the access point translates the answer back into something your AI understands. You then see the result in your chat, as if the AI had looked it up itself.

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What you can do with it

• Let your AI call an existing web service without changing that service
• Connect several services at once and reach each one by its own address
• Point your AI at a service described by an OpenAPI file, locally or online
• Add or update service settings while the access point is running
• Use Cursor, Windsurf, VS Code, Trae or MCP Inspector as your AI client
• Run it on your own computer or in Docker

Try asking your AI

• “What is the weather at latitude 40.7 and longitude -74.0?”
• “Look up the pet with id 5 in the pet store service”
• “Ask service-1 for its current status”
• “List what services are available through the access point”

What it gives back to you

You get the answer in your chat, usually as text or a small list. If the service returns structured data, the AI will summarize it for you. If you asked it to change something, it will tell you what it did. You do not see the behind-the-scenes web calls unless something goes wrong.

Before you start

Who it's for

Developers and technical teams who already have web services or APIs and want their AI assistant to use them.