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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.
Lets AI assistants search the web and fetch real-time information.
Connect Sonar models for real-time web search and answers in MCP clients.
Use Perplexity models for web search, chat, embeddings, and content moderation.