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https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
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feat: MCP message type
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parent
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commit
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@ -3,8 +3,9 @@
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import { createClient, executeRequest } from "./client";
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import { MCPClientLogger } from "./logger";
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import conf from "./mcp_config.json";
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import { McpRequestMessage } from "./types";
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const logger = new MCPClientLogger("MCP Server");
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const logger = new MCPClientLogger("MCP Actions");
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// Use Map to store all clients
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const clientsMap = new Map<string, any>();
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@ -51,7 +52,10 @@ export async function initializeMcpClients() {
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}
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// Execute MCP request
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export async function executeMcpAction(clientId: string, request: any) {
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export async function executeMcpAction(
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clientId: string,
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request: McpRequestMessage,
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) {
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try {
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// Find the corresponding client
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const client = clientsMap.get(clientId);
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@ -61,6 +65,7 @@ export async function executeMcpAction(clientId: string, request: any) {
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}
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logger.info(`Executing MCP request for ${clientId}`);
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// Execute request and return result
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return await executeRequest(client, request);
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} catch (error) {
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@ -1,6 +1,7 @@
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import { Client } from "@modelcontextprotocol/sdk/client/index.js";
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import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
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import { MCPClientLogger } from "./logger";
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import { McpRequestMessage } from "./types";
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import { z } from "zod";
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export interface ServerConfig {
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@ -79,6 +80,9 @@ export async function listPrimitives(client: Client) {
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}
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/** Execute a request */
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export async function executeRequest(client: Client, request: any) {
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export async function executeRequest(
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client: Client,
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request: McpRequestMessage,
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) {
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return client.request(request, z.any());
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}
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61
app/mcp/types.ts
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61
app/mcp/types.ts
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@ -0,0 +1,61 @@
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// ref: https://spec.modelcontextprotocol.io/specification/basic/messages/
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import { z } from "zod";
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export interface McpRequestMessage {
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jsonrpc?: "2.0";
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id?: string | number;
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method: "tools/call" | string;
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params?: {
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[key: string]: unknown;
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};
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}
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export const McpRequestMessageSchema: z.ZodType<McpRequestMessage> = z.object({
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jsonrpc: z.literal("2.0").optional(),
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id: z.union([z.string(), z.number()]).optional(),
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method: z.string(),
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params: z.record(z.unknown()).optional(),
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});
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export interface McpResponseMessage {
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jsonrpc?: "2.0";
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id?: string | number;
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result?: {
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[key: string]: unknown;
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};
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error?: {
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code: number;
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message: string;
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data?: unknown;
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};
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}
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export const McpResponseMessageSchema: z.ZodType<McpResponseMessage> = z.object(
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{
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jsonrpc: z.literal("2.0").optional(),
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id: z.union([z.string(), z.number()]).optional(),
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result: z.record(z.unknown()).optional(),
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error: z
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.object({
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code: z.number(),
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message: z.string(),
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data: z.unknown().optional(),
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})
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.optional(),
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},
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);
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export interface McpNotifications {
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jsonrpc?: "2.0";
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method: string;
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params?: {
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[key: string]: unknown;
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};
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}
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export const McpNotificationsSchema: z.ZodType<McpNotifications> = z.object({
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jsonrpc: z.literal("2.0").optional(),
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method: z.string(),
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params: z.record(z.unknown()).optional(),
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});
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@ -1,4 +1,9 @@
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import { getMessageTextContent, trimTopic } from "../utils";
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import {
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getMessageTextContent,
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isDalle3,
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safeLocalStorage,
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trimTopic,
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} from "../utils";
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import { indexedDBStorage } from "@/app/utils/indexedDB-storage";
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import { nanoid } from "nanoid";
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@ -14,14 +19,13 @@ import {
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DEFAULT_INPUT_TEMPLATE,
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DEFAULT_MODELS,
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DEFAULT_SYSTEM_TEMPLATE,
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GEMINI_SUMMARIZE_MODEL,
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KnowledgeCutOffDate,
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ServiceProvider,
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StoreKey,
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SUMMARIZE_MODEL,
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GEMINI_SUMMARIZE_MODEL,
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ServiceProvider,
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} from "../constant";
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import Locale, { getLang } from "../locales";
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import { isDalle3, safeLocalStorage } from "../utils";
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import { prettyObject } from "../utils/format";
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import { createPersistStore } from "../utils/store";
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import { estimateTokenLength } from "../utils/token";
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@ -55,6 +59,7 @@ export type ChatMessage = RequestMessage & {
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model?: ModelType;
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tools?: ChatMessageTool[];
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audio_url?: string;
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isMcpResponse?: boolean;
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};
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export function createMessage(override: Partial<ChatMessage>): ChatMessage {
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@ -368,20 +373,22 @@ export const useChatStore = createPersistStore(
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get().summarizeSession(false, targetSession);
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},
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async onUserInput(content: string, attachImages?: string[]) {
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async onUserInput(
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content: string,
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attachImages?: string[],
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isMcpResponse?: boolean,
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) {
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const session = get().currentSession();
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const modelConfig = session.mask.modelConfig;
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const userContent = fillTemplateWith(content, modelConfig);
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console.log("[User Input] after template: ", userContent);
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// MCP Response no need to fill template
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let mContent: string | MultimodalContent[] = isMcpResponse
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? content
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: fillTemplateWith(content, modelConfig);
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let mContent: string | MultimodalContent[] = userContent;
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if (attachImages && attachImages.length > 0) {
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if (!isMcpResponse && attachImages && attachImages.length > 0) {
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mContent = [
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...(userContent
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? [{ type: "text" as const, text: userContent }]
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: []),
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...(content ? [{ type: "text" as const, text: content }] : []),
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...attachImages.map((url) => ({
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type: "image_url" as const,
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image_url: { url },
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@ -392,6 +399,7 @@ export const useChatStore = createPersistStore(
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let userMessage: ChatMessage = createMessage({
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role: "user",
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content: mContent,
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isMcpResponse,
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});
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const botMessage: ChatMessage = createMessage({
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@ -770,9 +778,10 @@ export const useChatStore = createPersistStore(
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lastInput,
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});
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},
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/** check if the message contains MCP JSON and execute the MCP action */
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checkMcpJson(message: ChatMessage) {
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const content =
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typeof message.content === "string" ? message.content : "";
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const content = getMessageTextContent(message);
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if (isMcpJson(content)) {
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try {
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const mcpRequest = extractMcpJson(content);
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@ -782,11 +791,14 @@ export const useChatStore = createPersistStore(
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executeMcpAction(mcpRequest.clientId, mcpRequest.mcp)
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.then((result) => {
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console.log("[MCP Response]", result);
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// 直接使用onUserInput发送结果
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get().onUserInput(
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const mcpResponse =
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typeof result === "object"
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? JSON.stringify(result)
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: String(result),
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: String(result);
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get().onUserInput(
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`\`\`\`json:mcp:${mcpRequest.clientId}\n${mcpResponse}\n\`\`\``,
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[],
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true,
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);
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})
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.catch((error) => showToast(String(error)));
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