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perplexity-search

AI-powered web search, research, and reasoning via Perplexity

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Perplexity AI Search

Web search with AI-powered answers, deep research, and chain-of-thought reasoning.

When to Use

  • Direct web search for ranked results (no AI synthesis)
  • AI-synthesized research with citations
  • Chain-of-thought reasoning for complex decisions
  • Deep comprehensive research on topics

Models (2025)

ModelPurpose
sonarLightweight search with grounding
sonar-proAdvanced search for complex queries
sonar-reasoning-proChain of thought reasoning
sonar-deep-researchExpert-level exhaustive research

Usage

Quick question (AI answer)

uv run python scripts/mcp/perplexity_search.py \
    --ask "What is the latest version of Python?"

Direct web search (ranked results, no AI)

uv run python scripts/mcp/perplexity_search.py \
    --search "SQLite graph database patterns" \
    --max-results 5 \
    --recency week

AI-synthesized research

uv run python scripts/mcp/perplexity_search.py \
    --research "compare FastAPI vs Django for microservices"

Chain-of-thought reasoning

uv run python scripts/mcp/perplexity_search.py \
    --reason "should I use Neo4j or SQLite for small graph under 10k nodes?"

Deep comprehensive research

uv run python scripts/mcp/perplexity_search.py \
    --deep "state of AI agent observability 2025"

Parameters

ParameterDescription
--askQuick question with AI answer (sonar)
--searchDirect web search - ranked results without AI synthesis
--researchAI-synthesized research (sonar-pro)
--reasonChain-of-thought reasoning (sonar-reasoning-pro)
--deepDeep comprehensive research (sonar-deep-research)

Search-specific options

ParameterDescription
--max-results NNumber of results (1-20, default: 10)
--recencyFilter: day, week, month, year
--domainsLimit to specific domains

Mode Selection Guide

NeedUseWhy
Quick fact--askFast, lightweight
Find sources--searchRaw results, no AI overhead
Synthesized answer--researchAI combines multiple sources
Complex decision--reasonChain-of-thought analysis
Comprehensive report--deepExhaustive multi-source research

Examples

# Find recent sources on a topic
uv run python scripts/mcp/perplexity_search.py \
    --search "OpenTelemetry AI agent tracing" \
    --recency month --max-results 5

# Get AI synthesis
uv run python scripts/mcp/perplexity_search.py \
    --research "best practices for AI agent logging 2025"

# Make a decision
uv run python scripts/mcp/perplexity_search.py \
    --reason "microservices vs monolith for startup MVP"

# Deep dive
uv run python scripts/mcp/perplexity_search.py \
    --deep "comprehensive guide to building feedback loops for autonomous agents"

API Key Required

Requires PERPLEXITY_API_KEY in environment or ~/.claude/.env.

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