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2025-04-02

A Perplexity API Model Context Protocol (MCP) server that unlocks Perplexity's search-augmented AI capabilities for LLM agents. Features robust error handling, secure input validation, and transparent reasoning with the showThinking parameter. Built with type safety, modular architecture, and production-ready utilities.

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Perplexity MCP Server

TypeScript Model Context Protocol Version License Status GitHub

An MCP server providing tools to interact with the Perplexity AI API, built using the mcp-ts-template. This server allows AI agents compatible with the Model Context Protocol (MCP) to leverage Perplexity's search-augmented query capabilities. Includes a showThinking parameter to enable reasoning models to show its internal reasoning process.

Core Features

  • Utilities: Reusable components for logging, error handling, ID generation, rate limiting, and request context management.
  • Type Safety: Strong typing with TypeScript.
  • Error Handling: Robust error handling system.
  • Security: Basic security features like input sanitization.
  • Perplexity Tool: A ready-to-use tool for interacting with the Perplexity Search API.

.clinerules: This repository includes a .clinerules file that serves as a developer cheat sheet for LLM coding agents (like Cline) providing quick references for codebase patterns, file locations, and code snippets specific to this project.

Table of Contents

Overview

What is Model Context Protocol?

Model Context Protocol (MCP) is a framework that enables AI systems to interact with external tools and resources. It allows language models to:

  • Execute tools that perform actions and return results
  • Access structured resources that provide information
  • Create contextual workflows through standardized interfaces

This server allows AI systems to use the Perplexity API via MCP.

Architecture & Components

The server is based on the mcp-ts-template and follows its modular architecture:

Click to expand architecture diagram
flowchart TB
    subgraph API["API Layer"]
        direction LR
        MCP["MCP Protocol"]
        Val["Validation"]
        San["Sanitization"]

        MCP --> Val --> San
    end

    subgraph Core["Core Components"]
        direction LR
        Config["Configuration"]
        Logger["Logging System"]
        Error["Error Handling"]
        Server["MCP Server"]

        Config --> Server
        Logger --> Server
        Error --> Server
    end

    subgraph Implementation["Implementation Layer"]
        direction LR
        Tool["Tools (Perplexity)"]
        Util["Utilities"]

        Tool --> Server
        Util --> Tool
    end

    San --> Config
    San --> Server

    classDef layer fill:#2d3748,stroke:#4299e1,stroke-width:3px,rx:5,color:#fff
    classDef component fill:#1a202c,stroke:#a0aec0,stroke-width:2px,rx:3,color:#fff
    class API,Core,Implementation layer
    class MCP,Val,San,Config,Logger,Error,Server,Tool,Util component

Core Components:

  • Configuration System: Environment-aware configuration with validation
  • Logging System: Structured logging with sensitive data redaction
  • Error Handling: Centralized error processing with consistent patterns
  • MCP Server: Protocol implementation for tools
  • Validation Layer: Input validation and sanitization using validator and sanitize-html.
  • Utilities: Reusable utility functions for common operations

Features

Core Utilities

  • Logging: Configurable logging with file rotation and sensitive data redaction
  • Error Handling: Pattern-based error classification and standardized reporting
  • ID Generation: Secure unique identifier creation with prefix support
  • Rate Limiting: Request throttling to prevent API abuse
  • Request Context: Request tracking and correlation
  • Sanitization: Input validation and cleaning using validator and sanitize-html.
  • Cost Tracking: Estimation of Perplexity API costs based on model and token usage

Type Safety

  • Global Types: Shared type definitions for consistent interfaces
  • Error Types: Standardized error codes and structures
  • MCP Protocol Types: Type definitions for the MCP protocol
  • Tool Types: Interfaces for tool registration and configuration

Error Handling

  • Pattern-Based Classification: Automatically categorize errors based on message patterns
  • Consistent Formatting: Standardized error responses with additional context
  • Error Mapping: Custom error transformation for domain-specific errors
  • Safe Try/Catch Patterns: Centralized error processing helpers

Security

  • Input Validation: Using validator for various data type checks.
  • Input Sanitization: Using sanitize-html to prevent injection attacks.
  • Parameter Bounds: Enforced limits within sanitization logic to prevent abuse.
  • Sensitive Data Redaction: Automatic redaction in logs.

Perplexity Search Tool

  • perplexity_search: The core tool provided by this server, enabling interaction with the Perplexity Search API.

Installation

Prerequisites

Setup

  1. Clone this repository:

    # Replace with the actual repository URL if different
    git clone https://github.com/casey/perplexity-mcp-server.git
    cd perplexity-mcp-server
    
  2. Install dependencies:

    npm install
    
  3. Build the project:

    npm run build
    

Configuration

Environment Variables

This server requires the following environment variables:

Variable Description Default Value
PERPLEXITY_API_KEY API key for authentication with Perplexity (Required)
PERPLEXITY_DEFAULT_MODEL Default model to use for Perplexity requests "sonar-reasoning"
PERPLEXITY_DEFAULT_SEARCH_CONTEXT Search context size ('low', 'medium', 'high') "high"
LOG_LEVEL Logging level ("debug", "info", "warn", "error") "info"
NODE_ENV Runtime environment ("development", "production") "development"

MCP Client Settings

Add this server to your MCP client settings (e.g., in VS Code or Claude Desktop):

{
  "mcpServers": {
    "perplexity": {
      "command": "node",
      "args": ["/path/to/perplexity-mcp-server/dist/index.js"],
      "env": {
        "PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY"
      }
    }
  }
}

Replace /path/to/perplexity-mcp-server/dist/index.js with the actual path to the built server file and YOUR_PERPLEXITY_API_KEY with your key.

Configuration System (Internal)

The internal configuration system manages settings:

  • Environment Config: Loads settings like the API key from environment variables.
  • Validation: Validates configuration values (e.g., search context size).
  • Logging: Logs warnings for missing or invalid configuration.

Project Structure

The codebase follows a modular structure within the src/ directory:

src/
├── config/           # Configuration management
├── index.ts          # Main entry point
├── mcp-server/       # MCP server implementation
│   ├── server.ts     # Server setup and registration
│   └── tools/        # Tool implementations
│       └── perplexitySearch/
│           ├── index.ts
│           ├── logic.ts
│           └── registration.ts
├── services/         # External service integrations
│   ├── index.ts
│   └── perplexityApi.ts
├── types-global/     # Global type definitions
│   ├── errors.ts
│   ├── mcp.ts
│   └── tool.ts
└── utils/            # Utility functions
    ├── costTracker.ts
    ├── errorHandler.ts
    ├── idGenerator.ts
    ├── index.ts
    ├── logger.ts
    ├── rateLimiter.ts
    ├── requestContext.ts
    └── sanitization.ts

For a detailed, up-to-date view of the project structure, run:

npm run tree

Tool Documentation

perplexity_search

The perplexity_search tool performs search-augmented queries using the Perplexity API. It takes a natural language query, performs a web search using Perplexity's backend, and then uses an LLM to synthesize an answer based on the search results.

Input Parameters

Parameter Type Required Description
query string Yes The primary search query or question to be processed by Perplexity
return_related_questions boolean No When true, instructs the Perplexity model to suggest related questions alongside the main answer (Default: false)
search_recency_filter string No Filter search results by timeframe (e.g., 'day', 'week', 'month', 'year')
search_domain_filter string[] No Limit search to specific domains (e.g., ['wikipedia.org'])
showThinking boolean No Include the model's internal reasoning in the response (Default: false)

Examples

Basic usage:

{
  "query": "What are the latest developments in quantum computing?"
}

Advanced usage:

{
  "query": "What are the latest developments in quantum computing?",
  "return_related_questions": true,
  "search_recency_filter": "month",
  "search_domain_filter": ["nature.com", "science.org", "arxiv.org"],
  "showThinking": true
}

Development Guidelines

This project uses the structure and guidelines from the mcp-ts-template.

Adding a New Tool

Follow the template's guidelines:

  1. Create Directory: src/mcp-server/tools/yourNewTool/
  2. Define Logic & Schema: logic.ts (Input/Output types, validation schema, core function).
  3. Implement Registration: registration.ts (Import logic, schema, use ErrorHandler.tryCatch and server.tool()).
  4. Export Registration: index.ts (Export registration function).
  5. Register in Server: src/mcp-server/server.ts (Import and call registration function).

Adding a New Resource

Resources are not the primary focus of this server, but if needed, follow the template's guidelines:

  1. Create Directory: src/mcp-server/resources/yourNewResource/
  2. Define Logic & Schema: logic.ts (Param types, query schema, core function).
  3. Implement Registration: registration.ts (Import logic, schema, define ResourceTemplate, use ErrorHandler.tryCatch and server.resource()).
  4. Export Registration: index.ts (Export registration function).
  5. Register in Server: src/mcp-server/server.ts (Import and call registration function).

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.


Built with the Model Context Protocol

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    Reviews

    5 (1)
    Avatar
    user_B0S4nvkA
    2025-04-17

    I've been using the perplexity-mcp-server by cyanheads for a while now, and it has significantly improved my workflow. The setup was straightforward, and its capabilities in managing multiple server connections effortlessly are impressive. Highly recommended for anyone looking to streamline their server interactions!