Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
WindowsMacOS
Perplexity MCP Server
Alcova-AI/perplexity-mcp
A Model Context Protocol (MCP) server for the Perplexity API written in Go. This server enables AI assistants like Claude (Code and Desktop) and Cursor to seamlessly access Perplexity's powerful search and reasoning capabilities directly from their interfaces.
Install
Client configuration
{
"mcpServers": {
"server": {
"command": "perplexity-mcp",
"env": {
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>"
}
}
}
}Environment variables
PERPLEXITY_API_KEY- GitHub stars
- 5
- Author
- @Alcova-AI
- Category
- AI Chatbot, Search Tools
- License
- MIT
- Updated
- Oct 6, 2026
About Perplexity MCP Server
The Perplexity MCP Server acts as a bridge between AI assistants and the Perplexity API, allowing them to:
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
Related MCP servers
n8n Secure Workflow Automation for Technical Teams
n8n-io/n8n
Fair-code platform to build and deploy AI agents and workflows. Combine a visual canvas with custom code, run it self-hosted or in the cloud, and connect to 1500+ integrations. AI automation you can trust with real work, from prototype to production.
repomix
yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.
Inbox Zero AI MCP
elie222/inbox-zero
To help you spend less time in your inbox, so you can focus on what matters most.
figma-context-MCP
GLips/Figma-Context-MCP
Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server.
context7
upstash/context7
LLMs rely on outdated or generic information about the libraries you use. You get.
MCP Go
mark3labs/mcp-go
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.