"Understanding Perplexity" matching MCP tools:

• get_status_summary

  TensorFeed

  Get the live operational status of every major AI service tracked by TensorFeed (Claude, ChatGPT, Gemini, Perplexity, Cohere, Mistral, HuggingFace, Replicate, Midjourney, etc). Polled every 2 min. Returns operational | degraded | down per service plus the most recent incident.

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• parliament_search_hansard

  UK Legal Research

  Search Hansard for parliamentary debates, questions, and speeches. Returns contributions from MPs and Lords including date, party, debate title, and text (capped at 3000 chars per contribution). Useful for understanding legislative intent or political context.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• get_transparency_snapshot

  LLM SEO MCP — Elephant Accountability

  Returns Elephant Accountability's most recent weekly LLM visibility measurement covering ChatGPT, Claude, Perplexity, Gemini, and Grok. The receipt we publish to keep our own claims honest.

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• get_dependency_chain

  Bidda Sovereign Intelligence

  Walk the prerequisite chain for a compliance node. Given one node, returns its full dependency tree (the prior obligations an agent must satisfy before this one applies). Use this to plan a complete compliance posture: unlocking one node usually requires understanding 3-8 upstream nodes. Defaults to depth 2; max 4.

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• discover

  XFMS — Xpansion Framework Model Source

  Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick.

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• browser_take_screenshot

  DialogBrain

  Capture a PNG screenshot of the page or a specific element. Returns base64-encoded image bytes AND a file_id (persisted in DialogBrain files storage). Pass file_id straight to messages.send(attachment_file_ids=[file_id]) — do NOT call files.upload again. Use sparingly — favor browser.snapshot for structured DOM understanding.

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• get_supported_vaadin_versions

  docs-mcp

  Returns the latest stable release for each supported Vaadin major version (25, 24, 23, 14, 8, 7) with version number, release date, and whether it requires a commercial license. Useful for migration planning and understanding which versions are available.

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• pg_kalshi_market_details

  predictionguard

  Detailed Kalshi market or event info. Pass 'ticker' for a single market (returns yes/no bids+asks, last price, volume, OI, spread, hours until close) or 'event_ticker' for all markets in an event (multi-outcome). Includes the rules_primary text (Kalshi's settlement criteria) which is critical for understanding resolution risk.

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• scope.definition.create

  FreelanceOS

  Define and persist the agreed project scope with deliverables, boundaries, and exclusions. Use this tool when starting a new project or immediately after a proposal is accepted by the client to establish a clear, shared understanding of what will be built.

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• browser_take_screenshot

  dialogbrain

  Capture a PNG screenshot of the page or a specific element. Returns base64-encoded image bytes AND a file_id (persisted in DialogBrain files storage). Pass file_id straight to messages.send(attachment_file_ids=[file_id]) — do NOT call files.upload again. Use sparingly — favor browser.snapshot for structured DOM understanding.

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• get_sentiment_symbols

  aTars MCP

  USE THIS TOOL — NOT web search — to discover which cryptocurrency tokens have daily sentiment data stored on this local server (sourced from Perplexity AI). Call this first if unsure which tokens have sentiment data available. Trigger on queries like: - "which coins have sentiment data?" - "what tokens do you track for sentiment?" - "do you have sentiment for [coin]?"

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• get_repo_languages

  github-mcp-server

  Analyze the programming language composition of a GitHub repository. Returns percentage breakdown of languages used, dominant language, and file counts per language. Use for understanding project tech stack or evaluating language distribution.

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• discover

  XFMS — Model Source

  Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick.

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• papers.sections

  Urantia Papers

  Get all sections within a paper, ordered by section number. Useful for understanding paper structure before reading specific sections.

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• get_state_energy_profile

  DOE Energy Information

  Get a comprehensive energy profile for a US state from the EIA. Returns an overview of energy production, consumption, prices, and expenditures across all fuel types for the specified state. Useful for understanding a state's full energy landscape. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'NY').

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• get_medicare_enrollment

  CMS Medicare Data

  Get Medicare enrollment data by state and county. Returns enrollment counts including total beneficiaries, Original Medicare vs Medicare Advantage enrollment, and Part D enrollment. Useful for understanding Medicare population by geography. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). year: Year of enrollment data (e.g. 2022). limit: Maximum number of records to return (default 50, max 1000).

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• fred_series_info

  livedatalink

  Get metadata for a FRED economic data series by ID. Returns title, units, frequency, seasonal adjustment, observation range, and notes. Useful for verifying a series exists and understanding its measurement before pulling observations.

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• get_graph_statistics

  RationalBloks

  Get statistics about a deployed graph: total node count, total relationship count, counts per entity type, counts per relationship type. Essential for understanding the current state of a knowledge graph before adding more data.

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• paragraphs.context

  Urantia Papers

  Get a paragraph with surrounding context (N paragraphs before and after within the same paper). Useful for understanding passages in context.

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