import { makeJasperRequest } from "../utils/api.js";
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
interface GetBrandVoicesResponse {
data: any;
error: string | null;
}
export interface GetBrandVoicesRequest {
inputs: {};
}
/**
* Registers the run-jasper-command tool with the MCP server.
* This tool allows executing a command via the Jasper AI API.
* @param server The MCP server instance.
* @todo Confirm the actual Jasper AI endpoint for running commands.
*/
export function registerGetAudiencesTool(server: McpServer) {
server.tool(
"get-jasper-audiences",
"Return a list of the audiences belonging to the user. These audiences include a description to help the LLM and/or the user pick an appropriate audience, and an audienceId that can be passed to jasper's generate-content tool to use that audience when creating content.",
async () => {
const endpoint = "/audiences?pageSize=100";
const result = await makeJasperRequest<
GetBrandVoicesRequest,
GetBrandVoicesResponse
>(endpoint, "GET");
if (!result) {
return {
content: [
{
type: "text",
text: "Failed to make request to Jasper AI for run-command.",
},
],
};
}
if (result.error) {
return {
content: [
{
type: "text",
text: `Jasper AI Error: ${result.error}`,
},
],
};
}
const content = result.data.map((audience: any) => {
return {
type: "text",
text: `Name: ${audience.name}\n\nAudience ID: ${audience.id}\n\nDescription: ${audience.description}`,
};
});
return {
content,
};
}
);
}
