What an MCP server does
Model Context Protocol (MCP) gives an AI client a structured way to discover and use the tools and data you choose to expose. For example, an authorized assistant could search a product catalogue, retrieve an account record or prepare a report using an existing API.
MCP is a connection protocol. It does not by itself make a website appear in ChatGPT search or guarantee a recommendation.
What I can help you build
- Identify a useful workflow and define the smallest set of tools it needs.
- Connect existing APIs or data sources with clear input, output and error handling.
- Design authentication and permissions appropriate to the data and actions.
- Test the integration with supported clients and prepare deployment documentation.
A practical starting point
We begin with the systems you already have, the people allowed to use them and the result they need. A focused read-only tool can be a useful first step before adding actions that change data.
Frequently asked questions
Do I need an API already?
An existing API is a helpful starting point, but the right integration depends on where the data lives and how it can be accessed safely.
Can an MCP server use private data?
Yes, when the client and server support appropriate authentication and access controls. The details depend on the system and the sensitivity of the data.