Retrieve concept lessons, mastery, and history for a specific task statement ID.
MIT
306,560 tools. Last updated 2026-07-25 13:19
"Understanding the Concept of Perplexity" matching MCP tools:
- Verify drug names and retrieve canonical identifiers and related drug information from a free-text name or concept ID.MIT
- Retrieve complete concept details, hierarchy, and mappings in a single call. Understand a medical concept's definition, position in classification, and cross-vocabulary links without multiple queries.MIT
- Navigate the OMOP vocabulary hierarchy to find ancestor or descendant concepts, supporting phenotype definition and concept set building.MIT
- Retrieve the complete reported time series for a single XBRL financial concept, such as Revenues or NetIncomeLoss, for a specific US equity ticker.MIT
- Find APIs across multiple frameworks using concept search. Enter a phrase like 'state management' to discover matching functions like useState, createStore, and more.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceEnables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.Last updated3MIT
- Alicense-qualityCmaintenanceConcept-test your product with synthetic consumers, straight from Claude Code. It turns free-text reactions from roleplayed personas into purchase-intent reports using Semantic Similarity Rating.Last updated3MIT
Matching MCP Connectors
Enable AI assistants to perform web searches using Perplexity's Sonar Pro.
Library of Congress (loc.gov) MCP — the world's largest library.
- Retrieve detailed information about an OMOP concept by its numeric concept_id. Get concept name, vocabulary, domain, class, standard status, valid dates, and synonyms.MIT
- Retrieve the summary, facts, and relationships for a specific entity like a person, project, or concept.MIT
- Measure AI referral traffic from ChatGPT, Claude, Gemini, and Perplexity in GA4. Track GEO traffic from LLM engines to analyze AI visibility.MIT
- Search the web using Perplexity AI to retrieve relevant information and answers for your queries.Apache 2.0
- Find pages similar to a URL or concept by combining keyword search, embeddings, and web results. Uses a local cache for cheap recommendations after crawling.AGPL 3.0
- Demote a concept from the active serving stack without deleting its geometry, minting an archival trace for future recall.AGPL 3.0
- Verify a hypothesis by reporting success or failure; consistent successes crystallize the concept into permanent memory, while failures degrade its confidence.AGPL 3.0
- Store a concept and its definition in semantic memory to surface relevant knowledge without relying on event history.AGPL 3.0
- Read full content of files using absolute paths. Extract specific line ranges when needed for line-number understanding.Apache 2.0
- Search the internet and get answers using Perplexity. Choose simple queries for quick facts or complex queries for deep analysis, with optional file attachments.MIT
- Trace the ordered chain of prerequisite concepts needed to understand a target concept, enabling gap-filling and study sequencing.MIT
- Maps a natural-language question to concept lookup, investigation, and symbol impact analysis. Returns a structured answer with supporting evidence.MIT
- Query ConceptNet's knowledge graph to discover relationships, properties, and semantic information about any concept, with language filtering and complete results.GPL 3.0
- Consult Perplexity to search the internet and answer queries, with file attachments and support for simple or complex query types.MIT