This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an
This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and
This project showcases how to use the MCP protocol with OpenAI, Azure OpenAI and GitHub Models. It provides a simple demo terminal application that interacts with a TODO list Agent. The agent has access to a set of tools provided by the MCP server.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverOpenAI — To use the OpenAI API, you need to set your OPENAI_API_KEY key in the .env file:Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
| Variable | Description | Required |
|---|---|---|
| AZURE_OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| GITHUB_TOKEN | Credential the server authenticates with. | Yes |
The original Chromium automation reference server — simple, screenshot-driven browser control.
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