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wysh3

Perplexity MCP Server

chat_perplexity

Use this tool to perform web searches and engage in interactive conversations. Maintain context with optional chat IDs for follow-ups, ensuring accurate and informed responses.

Instructions

Automatically call this tool for interactive, conversational queries. This tool leverages Perplexitys web search capabilities to provide real-time information and maintains conversation history using an optional chat ID for contextual follow-ups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_idNoOptional: ID of an existing chat to continue. If not provided, a new chat will be created.
messageYesThe message to send to Perplexity AI for web search

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_idNoID of the chat session (new or existing)
responseNoPerplexity AI response to the message

Implementation Reference

  • The primary handler function implementing the chat_perplexity tool logic. It manages conversation history using provided database functions, constructs a prompt from chat history, and delegates to a search function.
    export default async function chatPerplexity(
      args: { message: string; chat_id?: string },
      ctx: PuppeteerContext,
      performSearch: (prompt: string, ctx: PuppeteerContext) => Promise<string>,
      getChatHistory: (chat_id: string) => ChatMessage[],
      saveChatMessage: (chat_id: string, message: ChatMessage) => void,
    ): Promise<string> {
      const { message, chat_id = crypto.randomUUID() } = args;
      const history = getChatHistory(chat_id);
      const userMessage: ChatMessage = { role: "user", content: message };
      saveChatMessage(chat_id, userMessage);
    
      let conversationPrompt = "";
      for (const msg of history) {
        conversationPrompt +=
          msg.role === "user" ? `User: ${msg.content}\n` : `Assistant: ${msg.content}\n`;
      }
      conversationPrompt += `User: ${message}\n`;
    
      return await performSearch(conversationPrompt, ctx);
    }
  • MCP tool schema definition for chat_perplexity, including detailed input/output schemas, description, examples, and metadata.
      name: "chat_perplexity",
      description:
        "Automatically call this tool for interactive, conversational queries. This tool leverages Perplexitys web search capabilities to provide real-time information and maintains conversation history using an optional chat ID for contextual follow-ups.",
      category: "Conversation",
      keywords: ["chat", "conversation", "dialog", "discussion", "advice", "brainstorm", "debug"],
      use_cases: [
        "Continuing multi-turn conversations",
        "Context-aware question answering",
        "Follow-up questions",
      ],
      inputSchema: {
        type: "object",
        properties: {
          message: {
            type: "string",
            description: "The message to send to Perplexity AI for web search",
            examples: [
              "Explain quantum computing",
              "Continue our previous discussion about AI safety",
            ],
          },
          chat_id: {
            type: "string",
            description:
              "Optional: ID of an existing chat to continue. If not provided, a new chat will be created.",
            examples: ["123e4567-e89b-12d3-a456-426614174000"],
          },
        },
        required: ["message"],
      },
      outputSchema: {
        type: "object",
        description:
          "Describes the structure of the JSON object returned within the response text field.",
        properties: {
          chat_id: {
            type: "string",
            description: "ID of the chat session (new or existing)",
          },
          response: {
            type: "string",
            description: "Perplexity AI response to the message",
          },
        },
      },
      examples: [
        {
          description: "Simple question",
          input: { message: "Explain quantum computing basics" },
          output: {
            chat_id: "new-chat-id",
            response: "Quantum computing uses qubits that can exist in superposition...",
          },
        },
        {
          description: "Continuing conversation",
          input: {
            message: "How does that compare to classical computing?",
            chat_id: "existing-chat-id",
          },
          output: {
            chat_id: "existing-chat-id",
            response: "Classical computers use bits that are either 0 or 1, while quantum...",
          },
        },
      ],
      related_tools: ["search", "get_documentation"],
    },
  • Registration of the chat_perplexity tool handler in the MCP server setup, binding the wrapper method to the tool registry.
    private setupToolHandlers(): void {
      const toolHandlers = createToolHandlersRegistry({
        chat_perplexity: this.handleChatPerplexity.bind(this),
        get_documentation: this.handleGetDocumentation.bind(this),
        find_apis: this.handleFindApis.bind(this),
        check_deprecated_code: this.handleCheckDeprecatedCode.bind(this),
        search: this.handleSearch.bind(this),
        extract_url_content: this.handleExtractUrlContent.bind(this),
      });
    
      setupToolHandlers(this.server, toolHandlers);
    }
  • Wrapper helper method in PerplexityServer that injects dependencies (search and database managers) into the core chatPerplexity handler.
    private async handleChatPerplexity(args: Record<string, unknown>): Promise<string> {
      const typedArgs = args as { message: string; chat_id?: string };
    
      // Use modular search engine
      const searchResult = await this.searchEngine.performSearch(typedArgs.message);
    
      // Use modular database manager
      const getChatHistoryFn = (chatId: string) => this.databaseManager.getChatHistory(chatId);
      const saveChatMessageFn = (
        chatId: string,
        message: { role: "user" | "assistant"; content: string },
      ) => this.databaseManager.saveChatMessage(chatId, message.role, message.content);
    
      // Call the original tool implementation with injected dependencies
      return await chatPerplexity(
        typedArgs,
        {} as never, // Context not needed with modular approach
        () => Promise.resolve(searchResult),
        getChatHistoryFn,
        saveChatMessageFn,
      );
    }
  • Specialized response formatting for chat_perplexity tool calls, ensuring chat_id is included in the JSON response.
    if (name === "chat_perplexity") {
      const chatArgs = (args || {}) as unknown as ChatPerplexityArgs;
      const chatId = chatArgs.chat_id || crypto.randomUUID();
      return {
        content: [
          {
            type: "text",
            text: JSON.stringify({ chat_id: chatId, response: result }, null, 2),
          },
        ],
      };
    }

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