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Control Perplexity API workflows for search, agents, embeddings, and cost management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "perplexity-control-mcp" yet — see the docs or source repo.
Using perplexity-control-mcp, generate a Node.js example that calls Perplexity search and sonar features. It should accept a user question and return structured search results, an answer summary, and cited sources, with key parameters explained.
A runnable Node.js example including search requests, result parsing, summary output, and parameter explanations.
Use perplexity-control-mcp to design an internal workflow that checks Perplexity API key status, estimates the cost of a batch query job, and outputs team-friendly operating steps and precautions.
A workflow for key checks and cost estimation, including steps, risk notes, and suitable use cases.
Based on perplexity-control-mcp, explain how to combine embeddings and agent capabilities to build a product-document QA assistant, including recommended API call order and response schema.
A QA assistant implementation plan covering component orchestration, call flow, and response structure recommendations.
Let AI assistants query Perplexity for cited web answers and filtered search.
Access Perplexity services through a unified MCP interface for search and AI integration.
Run web search and deep research via Perplexity Pro WebUI tools.
Search the web via Perplexity MCP with recency filters and AI client integration.
Handle complex searches faster with multi-model querying and file-aware analysis.
Connect Perplexity search to Claude Code for cited answers, research, and reviews.