"Information about computer usage" matching MCP tools:

• get_datetime

  local-mcp

  Get the current date and time of the machine where LMCP runs — with timezone and UTC offset. Call this whenever you need the real 'now' on the user's computer: before creating calendar events or reminders, resolving relative dates like 'today'/'tomorrow'/'next Friday', or timestamping. Takes no arguments.

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• mcpAccount

  AILANG Parse

  View account info, pricing, entitlements, or list keys. Actions: "status" (default) → tier, quota, usage from /me/entitlements "pricing" → public pricing tiers (no auth required) "keys" → list user's API keys with per-key usage "usage" → alias for "keys" (per-key usage is shown there)

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• get_credits

  Sorsa

  The user's remaining monthly analyse and AI credits and the reset date. Call when the user asks about their usage limits, or after a credit-limit error from an analysis tool.

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• get_sense_info

  dannet

  Get comprehensive RDF data for a DanNet sense (lexical sense). UNDERSTANDING THE DATA MODEL: Senses are ontolex:LexicalSense instances connecting words to synsets. They represent specific meanings of words with examples and definitions. KEY RELATIONSHIPS: 1. LEXICAL CONNECTIONS: - ontolex:isSenseOf → word this sense belongs to - ontolex:isLexicalizedSenseOf → synset this sense represents 2. SEMANTIC INFORMATION: - lexinfo:senseExample → usage examples in context - rdfs:label → sense label (e.g., "hund_1§1") 3. REGISTER AND STYLISTIC INFORMATION: - lexinfo:register → formal register classification (e.g., ":lexinfo/slangRegister") - lexinfo:usageNote → human-readable usage notes (e.g., "slang", "formal") 4. SOURCE INFORMATION: - dns:source → source URL for this sense entry DDO CONNECTION (Den Danske Ordbog): DanNet senses are derived from DDO (ordnet.dk), the authoritative modern Danish dictionary. SENSE LABELS: The format "word_entry§definition" connects to DDO structure: - "hund_1§1" = word "hund", entry 1, definition 1 in DDO - "forlygte_§2" = word "forlygte", definition 2 in DDO - The § notation directly corresponds to DDO's definition numbering SOURCE TRACEABILITY: The dns:source URLs link back to specific DDO entries: - Format: https://ordnet.dk/ddo/ordbog?entry_id=X&def_id=Y&query=word - Note: Some DDO URLs may not resolve correctly if IDs have changed since import - If the DDO page loads correctly, the relevant definition has CSS class "selected" METADATA ORIGINS: Usage examples, register information, and definitions flow from DDO's corpus-based lexicographic data, providing authoritative linguistic information. NAVIGATION TIPS: - Follow ontolex:isSenseOf to find the parent word - Follow ontolex:isLexicalizedSenseOf to find the synset - Check lexinfo:senseExample for usage examples from DDO corpus - Check lexinfo:register and lexinfo:usageNote for stylistic information - Use dns:source to attempt tracing back to original DDO definition (with caveats) - Use parse_resource_id() on URI references to get clean IDs Args: sense_id: Sense identifier (e.g., "sense-21033604" or just "21033604") Returns: Dict containing: - All RDF properties with namespace prefixes (e.g., ontolex:isSenseOf) - resource_id → clean identifier for convenience - All sense properties and relationships Example: info = get_sense_info("sense-21033604") # "hund_1§1" sense # Check info['ontolex:isSenseOf'] for parent word # Check info['ontolex:isLexicalizedSenseOf'] for synset # Check info['lexinfo:senseExample'] for usage examples from DDO # Check info['lexinfo:register'] for register classification # Check info['lexinfo:usageNote'] for usage notes like "slang" # Check info['dns:source'] for DDO source URL (may not always work)

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• data.capabilities

  Recursive Support Oracle

  Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.

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• get_service_info

  booking

  Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.

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• get_api_usage

  DoorProfit Crime & Neighborhood Data

  Get the current plan, monthly/daily API call usage, remaining quota, and reset times for the configured DoorProfit API key. Free: does NOT consume quota. Call this when the user asks about their remaining calls or hits a quota error.

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• seerxo_quota

  Seerxo

  Use this when the user asks about Seerxo credits or usage. Shows the authenticated account's remaining monthly generation quota. Free.

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• getProductDetails

  dm-drogerie-markt

  Retrieve detailed product information for dm-drogeriemarkt products. USE WHEN: ingredients, nutrition facts, allergens, usage instructions, warnings, hazard info, product URLs/images INPUT: DANs (7 digits, preferred) and/or GTINs (8-14 digits) multiple products can be requested at once min 1 / max 50. Use search tool first if only product name is known. OUTPUT: TOON format (compact YAML-like). Fields: name, brand, description, ingredients, nutrition, allergens, usage, warnings, URLs, images. found=false for unresolved IDs. NOT FOR: prices, availability, stock, reviews, recommendations ERRORS: validation error if >50 or no identifiers

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• get_onboarding_experience

  Fluentive MCP

  Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.

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• get_commitment_basic_info

  Google Compute Engine

  Get basic information about a Compute Engine Commitment, including its name, ID, status, plan, type, resources, and creation, start and end timestamps. Requires project, region, and commitment name as input.

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• get_member

  Govbase

  Retrieve detailed information about a specific U.S. member of Congress by their Bioguide ID (e.g., "P000197" for Nancy Pelosi).

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• search_arxiv

  Academic Research MCP Server

  Search the arXiv preprint repository for peer-reviewed academic papers in physics, mathematics, computer science, and related fields. Returns paper title, author list, abstract, publication date, PDF link, and category classification. Use for cutting-edge research, literature review, or staying current in academic fields.

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• get_instance_template_basic_info

  mcp

  Get basic information about a Compute Engine instance template, including its name, ID, description, machine type, region, and creation timestamp. Requires project and instance template name as input.

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• get_trip_details

  sbb-mcp

  Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.

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• get_trip_details

  swisstrip-mcp

  Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.

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• search_arxiv

  developer-tools-mcp-server

  Search arXiv for academic papers in computer science, machine learning, AI, physics, and mathematics. Returns paper titles, authors, abstracts, submission dates, and direct PDF download links. Use for researching algorithms, ML techniques, or emerging CS topics.

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• ask_kamy

  Kamy

  Ask Kamy Brain a question about Kamy usage, templates, plans, or errors. Sends the question to Kamy's public assistant endpoint and returns a paragraph answer.

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• http_status_lookup

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Look up detailed information about any HTTP status code: class, name, description, cacheability, typical causes, and handling best practices. Covers all standard 1xx-5xx codes.

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• neuron_get_contact

  neuron

  Retrieve detailed information about a specific contact including their tags, notes, and associated lists.

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