About Perplexity MCP Server
Perplexity MCP Server is an MCP server that wraps the Perplexity API, giving LLM agents search-augmented answers and deep research. It targets developers and agents that need current web information. It includes error handling, input validation and an optional view of the model's reasoning.
Key features
- 01Fast search-augmented query tool
- 02Filters by recency, domain and academic sources
- 03Multi-source deep research tool
- 04Research depth control via reasoning_effort
- 05Optional display of reasoning via showThinking
Use cases
- 01Provide agents with sourced, up-to-date web answers
- 02Have an AI assistant produce research reports on complex topics
- 03Add web search to automated development workflows
MCP support
This project is an MCP server that exposes Perplexity search and deep research as the perplexity_search and perplexity_deep_research tools for MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPerplexity MCP Server
Supercharge your AI agents with Perplexity's Search API!
An MCP (Model Context Protocol) server providing comprehensive access to the Perplexity AI API. It enables LLMs and AI agents to perform fast, search-augmented queries and conduct exhaustive, multi-source deep research, all through a standardized, secure, and easy-to-integrate protocol.
Built on the cyanheads/mcp-ts-template, this server follows a modular architecture with robust error handling, logging, and security features.
🚀 Core Capabilities: Perplexity Tools 🛠️
This server equips your AI with specialized tools to leverage Perplexity's unique capabilities:
| Tool Name | Description | Key Features |
|---|---|---|
perplexity_search | Performs a fast, search-augmented query using the Perplexity API. Ideal for quick questions and real-time information retrieval. | - Filter by recency (day, week, month, year).- Filter by domain or date range. - Prioritize scholarly sources with academic mode.- Optionally include the model's internal reasoning ( showThinking). |
perplexity_deep_research | Conducts an exhaustive, multi-source investigation for complex topics, delivering a detailed report. | - Ideal for in-depth analysis and report generation. - Control research depth and cost with reasoning_effort (low, medium, high). |
Note: For the deep research tool, I recommend allowing a longer timeout (e.g. 180 seconds) through MCP Clients like Cline. Other clients may time out after 60 seconds, which isn't sufficient for deep research.
Table of Contents
| Overview | Features | Installation |
|---|---|---|
| Configuration | Project Structure | |
| Tools | Development | License |
Overview
The Perplexity MCP Server acts as a bridge, allowing applications (MCP Clients) that understand the Model Context Protocol (MCP)—like advanced AI assistants (LLMs), IDE extensions, or custom research tools—to interact directly and efficiently with the Perplexity AI API.
Instead of complex, one-off API integrations, your tools can leverage this server to:
- Automate Research: Enable agents to perform quick lookups or deep-dive research programmatically.
- Enhance AI Reasoning: Provide LLMs with up-to-date, verifiable information from the web to ground their responses.
- Integrate Search into Workflows: Seamlessly add search-augmented generation to any AI-driven task.
Built on the robust mcp-ts-template, this server provides a standardized, secure, and efficient way to expose Perplexity's functionality via the MCP standard.
Developer Note: This repository includes a .clinerules file that serves as a developer cheat sheet for your LLM coding agent with quick reference for the codebase patterns, file locations, and code snippets.
Features
Core Utilities
Leverages the robust utilities provided by the mcp-ts-template:
- Logging: Structured, configurable logging with file rotation and optional MCP notifications.
- Error Handling: Centralized error processing with standardized
McpErrortypes. - Configuration: Environment variable loading (
dotenv) with Zod validation. - Input Validation/Sanitization: Uses
zodfor schema validation and a dedicated sanitization utility. - Request Context: Operation tracking and correlation via unique request IDs using
AsyncLocalStorage. - Type Safety: Strong typing enforced by TypeScript and Zod schemas.
- HTTP Transport: High-performance HTTP server using Hono, featuring session management and CORS support.
- Authentication: Robust authentication layer supporting JWT and OAuth 2.1.
Perplexity Integration
- Dual API Support: Full integration with both the standard Chat Completions API (
perplexity_search) and the more intensive research models (perplexity_deep_research). - Advanced Search Control: Fine-grained control over search parameters, including recency, domain filtering, and academic source prioritization.
- Cost Tracking: A utility to estimate the cost of API calls based on token usage and model, helping manage expenses.
- Resilient API Client: A dedicated service for interacting with the Perplexity API, featuring built-in error handling and request/response logging.
Installation
Prerequisites
- Node.js (>=18.0.0)
- npm (comes with Node.js)
- A Perplexity API Key - Get one from your Perplexity account settings
Setup
-
Clone the repository:
git clone https://github.com/cyanheads/perplexity-mcp-server.git cd perplexity-mcp-server -
Install dependencies:
npm install -
Build the project:
npm run build
Configuration
Environment Variables
Configure the server by creating a .env file in the project root (you can copy .env.example). These variables can also be set in your MCP client's configuration.
| Variable | Description | Default |
|---|---|---|
PERPLEXITY_API_KEY | Required. Your API key for Perplexity. | "" |
MCP_TRANSPORT_TYPE | Transport mechanism: stdio or http. | stdio |
MCP_HTTP_PORT | Port for the HTTP server (if MCP_TRANSPORT_TYPE=http). | 3010 |
MCP_HTTP_HOST | Host address for the HTTP server. | 127.0.0.1 |
MCP_LOG_LEVEL | Logging level (debug, info, warn, error). | info |
MCP_AUTH_MODE | Authentication for HTTP: jwt or oauth. | jwt |
MCP_AUTH_SECRET_KEY | Required for jwt auth. A secure secret key (min 32 chars). | "" |
MCP Client Settings
Add the following to your MCP client's configuration file (e.g., cline_mcp_settings.json):
{
"mcpServers": {
"perplexity-mcp-server": {
"command": "node",
"args": ["/path/to/your/perplexity-mcp-server/dist/index.js"],
"env": {
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE"
}
}
}
}
Project Structure
The codebase follows a modular structure within the src/ directory:
src/
├── index.ts # Entry point: Initializes and starts the server
├── config/ # Configuration loading (env vars, package info)
│ └── index.ts
├── mcp-server/ # Core MCP server logic and capability registration
│ ├── server.ts # Server setup, capability registration
│ ├── transports/ # Transport handling (stdio, http)
│ └── tools/ # MCP Tool implementations (subdirs per tool)
├── services/ # External service integrations (Perplexity API client)
├── types-global/ # Shared TypeScript type definitions
└── utils/ # Common utility functions (logger, error handler, etc.)
For a detailed file tree, run npm run tree or see docs/tree.md.
Tools
The Perplexity MCP Server provides two primary tools for interacting with the Perplexity API.
| Tool Name | Description | Key Arguments |
|---|---|---|
perplexity_search | Performs a fast, search-augmented query. | query, search_recency_filter?, search_domain_filter?, search_mode?, showThinking? |
perplexity_deep_research | Conducts an exhaustive, multi-source research query. | query, reasoning_effort? |
Note: All tools support comprehensive error handling and return structured JSON responses.
Development
Build and Test
# Build the project (compile TS to JS in dist/)
npm run build
# Clean build artifacts
npm run clean
# Generate a file tree representation for documentation
npm run tree
# Clean build artifacts and then rebuild the project
npm run rebuild
# Start the server using stdio (default)
npm start
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.