MCP Server Perplexity
M

MCP Server Perplexity

An MCP server implementation integrating the Perplexity AI API, providing advanced search functions and multi - model support.
2.5 points
8.2K

What is the Perplexity AI MCP Server?

The Perplexity AI MCP Server is a powerful search tool based on the Perplexity AI API, which can provide you with high - quality information retrieval services. Whether you need to quickly acquire knowledge or conduct complex data analysis, this server can meet your needs.

How to use the Perplexity AI MCP Server?

First, you need to install and configure the server. Then, you can start searching through simple commands. The specific steps are as follows: install dependencies, build the project, set environment variables, and start the server.

Applicable Scenarios

It is suitable for academic research, business data analysis, daily knowledge queries and other fields. Whether you are looking for specific information or exploring new fields, this server can help you complete tasks efficiently.

Main Features

Advanced Search
Supports all official Sonar models of Perplexity AI, providing powerful search capabilities.
Configurable Number of Results
You can adjust the number of results returned for each search according to your needs, ranging from 1 to 10, with a default value of 5.
Detailed Error Handling and Logging
It has a built - in detailed logging system, which is convenient for troubleshooting and optimizing performance.
MCP Inspector Compatibility
It seamlessly integrates with the MCP Inspector, facilitating the management and monitoring of the server status.
Advantages
Supports multiple high - performance AI models
Easy to install and deploy
Rich search options and flexibility
Limitations
Requires a valid Perplexity AI API key
Limited support for high - concurrent requests

How to Use

Install Dependencies
Run the pnpm install command to install the required dependencies.
Build the Project
Run the pnpm build command to generate an executable file.
Set the API Key
Add your Perplexity AI API key to the environment variables.
Start the Server
Use the node dist/index.js or pnpm dev command to start the server.

Usage Examples

Example 1: Basic Search
Perform a simple search using the default model and number of results.
Example 2: Specify the Model and Number of Results
Select a specific model and limit the number of returned results.

Frequently Asked Questions

How to obtain a Perplexity AI API key?
What if the server fails to start?

Related Resources

Perplexity AI Official Website
Learn about Perplexity AI and its API services
GitHub Repository
View the source code and contribution guidelines

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.0K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
20.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase