Perplexity MCP
Give your AI agent live web search and deep research via Perplexity's Sonar API
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Perplexity MCP
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ActiveHow to Install Perplexity MCP
$npx @modelcontextprotocol/inspector perplexity-mcpRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
Setup by client
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"perplexity-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"perplexity-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"perplexity-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"perplexity-mcp"
]
}
}
}VS Code (.vscode/mcp.json)
{
"servers": {
"perplexity-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"perplexity-mcp"
]
}
}
}Claude Code (terminal)
claude mcp add perplexity-mcp -- npx @modelcontextprotocol/inspector perplexity-mcpAdd any API keys or environment variables the server's README lists.
About Perplexity MCP
The official Perplexity MCP server connects AI assistants to Perplexity's Sonar API, enabling real-time web search with cited sources and the sonar-deep-research model for comprehensive multi-step research tasks. It returns grounded, citation-backed answers rather than hallucinated responses, making it the go-to MCP for any agent that needs current information from the web.
Perplexity MCP is a Search MCP server designed for researchers, analysts, and engineers building grounded agents. It enables giving AI assistants live, source-grounded web access by wrapping a search provider and page-fetch step as MCP tools. Key capabilities include live web search with snippets and urls, optional full-page fetch for cited sources, configurable result counts and freshness windows, and structured tool calls that work cleanly inside an LLM context. It integrates with Google, Bing, Brave, Tavily, Exa, Perplexity, and SerpAPI, and is best suited for researchers, analysts, and engineers building grounded agents who need research and competitive analysis.
Key Features
- search
- web-search
- research
- real-time
- citations
Pricing
Freemium: from Free tier available, paid from $0.001/1k tokens
Pros & Cons
Pros
- Lets the assistant answer about events past its training cutoff
- Cites sources you can actually click
- Replaces most simple RAG pipelines
Cons
- Quality depends on the underlying search provider
- Token costs scale with how much page content you pull
- Rate limits can bite on bursty agent runs
Best For
- Research and competitive analysis
- Source-grounded answers in chat UIs
- Fact-checking long-form drafts
- Replacing manual Googling in agent loops
Our Take on Perplexity MCP
Perplexity MCP is the best way to give any AI agent access to current, cited web information: essential for any agent that needs up-to-date knowledge.
Alternatives to Perplexity MCP
Brave's own MCP server: web, news, image, video and place search plus LLM context
View Brave Search MCP →