Use MCP servers in prompts

The Model Context Protocol (MCP) is an open protocol that enables AI models to securely access external data sources, tools, and resources through a standardized interface. Adaline’s Editor lets you connect to remote MCP servers and use their tools directly in your prompts — enabling powerful integrations without custom backend code.

Enable MCP

Select a compatible model

Open the model selector and choose an LLM that supports MCP integration.

MCP integration currently requires selecting an Anthropic model. If you need MCP support for other providers, contact support@adaline.ai for a private preview.

Open MCP settings

In the model settings panel, select MCP.

Toggle MCP on

Set the MCP toggle to On to enable the integration.

Once enabled, the Editor displays the MCP configuration panel where you can add your server settings:

Configure an MCP server

Each MCP server requires a JSON configuration object. Here is the complete schema:

{
  "type": "url",
  "url": "https://example-server.modelcontextprotocol.io/sse",
  "name": "example-mcp",
  "tool_configuration": {
    "enabled": true,
    "allowed_tools": ["example_tool_1", "example_tool_2"]
  },
  "authorization_token": "YOUR_TOKEN"
}

Configuration reference

Field	Type	Required	Description
`type`	String	Yes	Currently only `"url"` is supported.
`url`	String	Yes	The MCP server URL. Must start with `https://`.
`name`	String	Yes	A unique identifier for the server. Choose a descriptive name.
`tool_configuration`	Object	No	Controls which tools from the server are available.
`tool_configuration.enabled`	Boolean	No	Whether to enable tools from the server (default: `true`).
`tool_configuration.allowed_tools`	Array	No	Restrict which tools are allowed. By default, all tools are available.
`authorization_token`	String	No	OAuth authorization token, if required by the server.

Connect to multiple servers

You can connect to multiple MCP servers simultaneously by providing an array of server configurations:

[
  {
    "type": "url",
    "url": "https://mcp.example1.com/sse",
    "name": "mcp-server-1",
    "authorization_token": "YOUR_TOKEN_1"
  },
  {
    "type": "url",
    "url": "https://mcp.example2.com/sse",
    "name": "mcp-server-2",
    "authorization_token": "YOUR_TOKEN_2"
  }
]

Each server’s tools become available to the model independently. The model can choose which server’s tools to invoke based on the conversation context.

Authentication

Many MCP servers require OAuth authentication. To obtain an access token:

Use the MCP Inspector or your server provider’s OAuth flow to generate a token.
Paste the token into the authorization_token field in your server configuration.

Keep your authorization tokens secure. If your MCP server’s tokens have an expiry, you will need to refresh them periodically.

Get started

Instrument

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Admin

Others

Use MCP servers in prompts

Enable MCP

Configure an MCP server

Configuration reference

Connect to multiple servers

Authentication

Next steps

Use Tools in Prompts

Tool Calls in Playground

​Enable MCP

​Configure an MCP server

​Configuration reference

​Connect to multiple servers

​Authentication

​Next steps

Use Tools in Prompts

Tool Calls in Playground

Enable MCP

Configure an MCP server

Configuration reference

Connect to multiple servers

Authentication

Next steps