Skip to main content
Glama

push_gemini_flex

Generate and send LINE Flex messages using natural language prompts. Describe the card you want, and it creates and pushes it to users via the LINE Bot MCP Server.

Instructions

Generate a LINE Flex message (bubble/carousel) from a natural language prompt using Gemini, then push it to a user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdNoThe user ID to receive a message. Defaults to DESTINATION_USER_ID.U1a2b3c4d5e6f7g8h9i0j1k2l3m4n5o6p
promptYesDescribe the Flex card you want.
modelNoGemini model name, e.g., gemini-2.0-flashgemini-2.0-flash
altTextNoAlternative text for Flex message.Generated card

Implementation Reference

  • The main handler function that executes the tool. It uses Gemini to generate a LINE Flex message from a prompt, parses and validates the JSON output, and pushes the message to the specified user ID via LINE Messaging API.
    async ({ userId, prompt, model, altText }) => { if (!userId) return createErrorResponse(NO_USER_ID_ERROR); const apiKey = process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY; if (!apiKey) { return createErrorResponse( "Please set GEMINI_API_KEY (or GOOGLE_API_KEY) in environment variables.", ); } try { async function callGeminiOnce( modelName: string, apiVersion: "v1" | "v1beta", ) { const endpoint = `https://generativelanguage.googleapis.com/${apiVersion}/models/${encodeURIComponent( modelName, )}:generateContent`; const body = { contents: [ { role: "user", parts: [ { text: `You are an assistant that outputs only JSON for LINE Flex Message 'contents'.\n` + `Return a valid 'contents' object (type: 'bubble' or 'carousel'). Do not include markdown or explanations.\n` + `Keep text short. Avoid unsupported fields.\n\n` + `Requirement: ${prompt}`, }, ], }, ], }; const res = await fetch(endpoint, { method: "POST", headers: { "Content-Type": "application/json", "X-goog-api-key": apiKey, }, body: JSON.stringify(body), }); return res; } const tryModels: string[] = [model]; if (!model.endsWith("-latest")) tryModels.push(`${model}-latest`); for (const m of [ "gemini-2.0-flash", "gemini-2.0-flash-latest", "gemini-1.5-flash-latest", ]) { if (!tryModels.includes(m)) tryModels.push(m); } let res: Response | undefined; let lastErr = ""; for (const m of tryModels) { for (const ver of ["v1", "v1beta"] as const) { res = await callGeminiOnce(m, ver); if (res.ok) break; lastErr = await res.text(); if (res.status !== 404) break; } if (res?.ok) break; } if (!res || !res.ok) { return createErrorResponse( `Gemini API error: HTTP ${res?.status} ${res?.statusText} - ${lastErr}`, ); } const data = (await res.json()) as GenerateContentResponse; const raw = data?.candidates?.[0]?.content?.parts ?.map(p => p.text || "") .join("") || ""; if (!raw) return createErrorResponse( data?.error?.message || "Empty result from Gemini", ); // Extract plain JSON even if wrapped with ```json fences or extra text const fence = raw.match(/```(?:json)?\s*([\s\S]*?)```/i); let jsonText = fence ? fence[1].trim() : raw; if (!fence) { const s = raw.indexOf("{"); const e = raw.lastIndexOf("}"); if (s !== -1 && e !== -1 && e > s) jsonText = raw.slice(s, e + 1); } let contents: unknown; try { contents = JSON.parse(jsonText); } catch (e1: any) { // Attempt a light sanitization (remove trailing commas) then parse again try { const sanitized = jsonText.replace(/,\s*([}\]])/g, "$1"); contents = JSON.parse(sanitized); } catch (e2: any) { return createErrorResponse( `Failed to parse Flex contents JSON from Gemini: ${e1?.message || e1}`, ); } } const msg = { type: "flex", altText, contents }; const parsed = flexMessageSchema.safeParse(msg); if (!parsed.success) { return createErrorResponse( `Generated Flex invalid: ${parsed.error.issues.map(i => i.message).join(", ")}`, ); } const response = await this.client.pushMessage({ to: userId, messages: [parsed.data as unknown as messagingApi.Message], }); return createSuccessResponse(response); } catch (error: any) { return createErrorResponse( `Failed to push Gemini Flex: ${error.message}`, ); } },
  • Zod schemas defining the input parameters for the tool: userId, prompt, model, altText. Used in server.tool call for input validation.
    register(server: McpServer) { const userIdSchema = z .string() .default(this.destinationId) .describe( "The user ID to receive a message. Defaults to DESTINATION_USER_ID.", ); const modelSchema = z .string() .default("gemini-2.0-flash") .describe("Gemini model name, e.g., gemini-2.0-flash"); const promptSchema = z .string() .min(1) .describe("Describe the Flex card you want."); const altTextSchema = z .string() .default("Generated card") .describe("Alternative text for Flex message."); server.tool( "push_gemini_flex", "Generate a LINE Flex message (bubble/carousel) from a natural language prompt using Gemini, then push it to a user.", { userId: userIdSchema, prompt: promptSchema, model: modelSchema, altText: altTextSchema, },
  • The server.tool call within the register method that registers the 'push_gemini_flex' tool with name, description, schema, and handler.
    server.tool( "push_gemini_flex", "Generate a LINE Flex message (bubble/carousel) from a natural language prompt using Gemini, then push it to a user.", { userId: userIdSchema, prompt: promptSchema, model: modelSchema, altText: altTextSchema, }, async ({ userId, prompt, model, altText }) => { if (!userId) return createErrorResponse(NO_USER_ID_ERROR); const apiKey = process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY; if (!apiKey) { return createErrorResponse( "Please set GEMINI_API_KEY (or GOOGLE_API_KEY) in environment variables.", ); } try { async function callGeminiOnce( modelName: string, apiVersion: "v1" | "v1beta", ) { const endpoint = `https://generativelanguage.googleapis.com/${apiVersion}/models/${encodeURIComponent( modelName, )}:generateContent`; const body = { contents: [ { role: "user", parts: [ { text: `You are an assistant that outputs only JSON for LINE Flex Message 'contents'.\n` + `Return a valid 'contents' object (type: 'bubble' or 'carousel'). Do not include markdown or explanations.\n` + `Keep text short. Avoid unsupported fields.\n\n` + `Requirement: ${prompt}`, }, ], }, ], }; const res = await fetch(endpoint, { method: "POST", headers: { "Content-Type": "application/json", "X-goog-api-key": apiKey, }, body: JSON.stringify(body), }); return res; } const tryModels: string[] = [model]; if (!model.endsWith("-latest")) tryModels.push(`${model}-latest`); for (const m of [ "gemini-2.0-flash", "gemini-2.0-flash-latest", "gemini-1.5-flash-latest", ]) { if (!tryModels.includes(m)) tryModels.push(m); } let res: Response | undefined; let lastErr = ""; for (const m of tryModels) { for (const ver of ["v1", "v1beta"] as const) { res = await callGeminiOnce(m, ver); if (res.ok) break; lastErr = await res.text(); if (res.status !== 404) break; } if (res?.ok) break; } if (!res || !res.ok) { return createErrorResponse( `Gemini API error: HTTP ${res?.status} ${res?.statusText} - ${lastErr}`, ); } const data = (await res.json()) as GenerateContentResponse; const raw = data?.candidates?.[0]?.content?.parts ?.map(p => p.text || "") .join("") || ""; if (!raw) return createErrorResponse( data?.error?.message || "Empty result from Gemini", ); // Extract plain JSON even if wrapped with ```json fences or extra text const fence = raw.match(/```(?:json)?\s*([\s\S]*?)```/i); let jsonText = fence ? fence[1].trim() : raw; if (!fence) { const s = raw.indexOf("{"); const e = raw.lastIndexOf("}"); if (s !== -1 && e !== -1 && e > s) jsonText = raw.slice(s, e + 1); } let contents: unknown; try { contents = JSON.parse(jsonText); } catch (e1: any) { // Attempt a light sanitization (remove trailing commas) then parse again try { const sanitized = jsonText.replace(/,\s*([}\]])/g, "$1"); contents = JSON.parse(sanitized); } catch (e2: any) { return createErrorResponse( `Failed to parse Flex contents JSON from Gemini: ${e1?.message || e1}`, ); } } const msg = { type: "flex", altText, contents }; const parsed = flexMessageSchema.safeParse(msg); if (!parsed.success) { return createErrorResponse( `Generated Flex invalid: ${parsed.error.issues.map(i => i.message).join(", ")}`, ); } const response = await this.client.pushMessage({ to: userId, messages: [parsed.data as unknown as messagingApi.Message], }); return createSuccessResponse(response); } catch (error: any) { return createErrorResponse( `Failed to push Gemini Flex: ${error.message}`, ); } }, );
  • src/index.ts:72-72 (registration)
    Instantiation and registration of the PushGeminiFlex tool instance on the MCP server in the main entry point.
    new PushGeminiFlex(messagingApiClient, destinationId).register(server);

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tndfame/mcp_management'

If you have feedback or need assistance with the MCP directory API, please join our Discord server