"Understanding Perplexity" matching MCP servers:

An MCP server that enables AI agents to perform search-augmented queries and deep multi-source research using the Perplexity API.

Enables structured company-news briefs and sector-wide market-signal sweeps via the Perplexity Sonar API, returning fixed-section briefs and JSON-schema-constrained signal arrays with citations.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

An MCP server that enables MCP clients to directly access and process arXiv papers by fetching the LaTeX source, improving mathematical content understanding.

MCP server that connects AI assistants (Claude, Cursor, Windsurf) to AgentOracle's real-time research API. Agents can research any topic and get structured JSON with summary, key facts, sources, and confidence scores. Powered by Perplexity Sonar via x402 protocol on Base

Track how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.

An MCP server that makes Perplexity's Sonar Deep Research usable from MCP clients that enforce a request timeout by using Perplexity's async API.

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Sonar models and Search API. Supports quick searches, deep research, advanced reasoning, and direct web search with ranked results.

Automates competitive research for startup ideas by executing a 7-step pipeline including idea understanding, competitor discovery, profile extraction, feature comparison, market gap analysis, innovation scoring, and report generation.

Enables AI assistants to perform real-time web and academic searches using Perplexity's Sonar API.

An MCP server that provides AI assistants with advanced document perception capabilities including text extraction, structure analysis, and deep content understanding through multiple tools and providers.

An MCP server that integrates with Poe's API to provide AI-powered search and research tools from Perplexity, Reka, Exa, and Linkup.

Turn any link — video, PDF, screenshot, or article — into cached, timestamp-anchored understanding agents can query through lenses (explainer, build spec, teardown, design tokens, production blueprint). Every claim carries the exact second or page it came from.

A multimodal academic research assistant for LLM Agent papers, enabling paper search, PDF/figure understanding, knowledge graph memory, learning paths, and reproducible experiments via MCP.

Integrates with Perplexity's API to provide web search and AI-powered answers with citations. Offers a three-tier research workflow: search for sources, ask for grounded AI answers, and ask_more for deeper analysis using advanced models.

Audits Japanese construction and renovation estimates for overcharge. Fair price ranges by work type, red flag checks for sales tactics, and signed recomputable verdicts. Backed by the open JCCDB dataset (65,729 items, CC BY 4.0).

This TypeScript-based server implements a simple notes system using MCP concepts, enabling users to create, list, and summarize text notes through natural language prompts.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.

Enables AI-powered search and analysis of Google data through the Perplexity2 API, allowing users to discover insights and enhance decision-making capabilities.