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@perplexity-ai/mcp-server

Real-time web search, reasoning, and research through Perplexity's API

2k stars15k/wkupdated 16d agogithub ↗
91excellent
▣ Overview
Add to Kironpm version

What it does

This is Perplexity's official MCP server, exposing four tools for real-time web search and AI reasoning. perplexity_search queries the Search API directly for ranked results; perplexity_ask handles conversational Q&A with web search context via the sonar-pro model; perplexity_research runs deep, comprehensive research using sonar-deep-research; and perplexity_reason tackles complex analytical tasks with sonar-reasoning-pro. All tools integrate current web data into their responses, avoiding the knowledge-cutoff problem of offline models. The reasoning and research tools support an optional strip_thinking parameter to remove thinking blocks and save context.

Who it's for

Researchers, analysts, and content creators who need current information grounded in live web results. Developers building AI agents that must answer questions about recent events, market data, or breaking news. Teams using Claude or other AI editors who want their assistant to search the web rather than hallucinate outdated information.

Common use cases

  • Search for recent news or current information during Claude conversations without switching tools
  • Ground research reports in live web data via the deep-research model
  • Solve complex problems through structured reasoning with access to current sources
  • Build AI agents that answer user questions with citations to real-time web results
  • Fact-check claims or find supporting evidence for analytical work

Setup pitfalls

  • Requires PERPLEXITY_API_KEY from https://www.perplexity.ai/account/api/group—the server will fail silently without it
  • Makes live network calls to Perplexity's API; behind a corporate proxy, set PERPLEXITY_PROXY=https://your-proxy-host:8080
  • Default timeout is 5 minutes; deep research requests may approach this—increase via PERPLEXITY_TIMEOUT_MS if requests fail
  • Each Sonar model (pro, deep-research, reasoning-pro) has different cost and latency profiles—test which fits your use case
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
84
16.7
Quality
10%
90
9.0
Trust
10%
50
5.0
Total
90.7
⚿ Capabilities & Risk Explainer
networksecrets
◆ Risk level: medium
network + secrets — requires access to credentials or environment secrets.
⚙ Install config
Claude Desktop · Cursor · Windsurf · VS Code (Copilot) · Claude Code
add to your MCP client config:
{
  "mcpServers": {
    "perplexity-aimcp": {
      "command": "npx",
      "args": [
        "-y",
        "@perplexity-ai/mcp-server"
      ]
    }
  }
}
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads15k
github stars2k
forks336
open issues10
license✓ present
readme length8164 chars
last publish0d ago
last commit16d ago
last updated1d ago
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