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597,664 tools. Updated 2026-09-21 15:32

"Assistance with macOS Spaces feature" matching MCP tools:

  • Searches CoworkingView for coworking spaces and returns matching spaces with their "from" price, capacity, amenities, rating and a canonical URL to show the user. Filters take lowercase slugs, never display names: resolve a place with list_coworking_locations or resolve_coworking_query first, and get amenity slugs from get_coworking_filter_options. A "zone" is a district inside a city and must be combined with its city. Results are ordered deterministically, so the same query always returns the same spaces in the same order. Use the returned nextCursor to get more results rather than guessing a page number.
    ConnectorNo auth
  • Use this when the user asks to see, choose, or look up their documentation Spaces, especially before using tools that need a numeric space_id. Read-only: returns accessible Spaces and does not change settings or documents.
    ConnectorOAuth
  • List the ProductClank content spaces you can draft into — spaces the user owns, delegates for, or manages that have their content engine turned on. Returns { space_id, name }. Call this first to resolve the space_id for write_content_candidates, and confirm the target space with the user.
    ConnectorNo auth
  • Promote an idea into a roadmap feature: creates a feature from the idea (name + description), stamps the idea 'promoted' and links it to the new feature, and returns the feature id. Idempotent — an already-promoted idea returns its existing feature. Resolve the id via list_ideas; only id is required. Align the new feature to an initiative/goal afterwards with update_feature.
    ConnectorNo auth
  • Submit a support request to the Skala team on behalf of the user. Call this when the user needs human assistance that AI cannot provide, the question is too complex or high-risk, or the user explicitly asks for human support. IMPORTANT: Always confirm with the user before calling — describe what you will submit and ask for their approval. Before calling, compile the issue from conversation context into the description.
    ConnectorNo auth
  • Mechanical errors of Russian typography — with the exact place and a replacement. This is CODE, not a model's judgement: the same text gives the same list of findings. It catches what the eye misses and the reader feels: non-breaking spaces, dashes, straight quotes, a dot instead of a comma in decimals, spaces around punctuation, double spaces. Every finding carries a ready replacement — apply it rather than rewriting the fragment your own way. WHAT IS NOT HERE. Plain style, sentence length, officialese, signs of AI slop — that is judgement, and it lives in the `layero://editorial/ru` resource. Read it when asked to "make the text better" rather than "fix the typography".
    ConnectorOAuth

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  • Mechanical errors of Russian typography — with the exact place and a replacement. This is CODE, not a model's judgement: the same text gives the same list of findings. It catches what the eye misses and the reader feels: non-breaking spaces, dashes, straight quotes, a dot instead of a comma in decimals, spaces around punctuation, double spaces. Every finding carries a ready replacement — apply it rather than rewriting the fragment your own way. WHAT IS NOT HERE. Plain style, sentence length, officialese, signs of AI slop — that is judgement, and it lives in the `layero://editorial/ru` resource. Read it when asked to "make the text better" rather than "fix the typography".
    ConnectorAPI key
  • List spaces the user can see (their own/member spaces + public ones), each annotated with THIS caller's permission so you know what they may do: - your_role: 'owner' | 'editor' | 'viewer' | null (their space membership) - is_owner: they own the space - access: 'owner' | 'member' | 'public' (how it's available to them) - can_write: their space role permits ingest (owner/editor) — a real ingest also needs the 'ingest' capability + any per-space access rules. Use this to tell the user which spaces they can read vs. write vs. only see as public.
    ConnectorNo auth
  • Get FEMA disaster declarations filtered by state, year, or type. Returns federal disaster declarations including major disasters, emergencies, and fire management assistance. Each record includes the disaster number, title, declaration date, and affected area. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'FL'). year: Filter by fiscal year of the declaration (e.g. 2023). disaster_type: Declaration type code: 'DR' (major disaster), 'EM' (emergency), or 'FM' (fire management assistance). limit: Maximum number of records to return (default 25, max 1000).
    ConnectorNo auth
  • Get the Senzing JSON analyzer script to validate mapped data files client-side. REQUIRED: `workspace_dir` (writable directory, e.g. ~/sz-workspace) — the call WILL FAIL without it. The analyzer validates records against the Entity Specification, examines feature distribution, attribute coverage, and data quality. Returns a Python script (no dependencies) with instructions. No source data is sent to the server. Typical workspace_dir values: Linux `/tmp` or `~/sz-workspace`; macOS `~/sz-workspace`; sandboxed envs: explicit path under home (do NOT assume /tmp exists).
    ConnectorNo auth
  • Find down payment assistance (DPA) programs by US state and/or buyer type. Includes national programs. Each result links to its official government source and carries a ledger receipt and last-verified date.
    ConnectorNo auth
  • Emergency resource directory for Crosby, TX (unincorporated Harris County): 911 guidance, sheriff non-emergency, power-outage and gas-leak reporting, the CAER industrial-incident line, flood and road tools, shelters, and disaster assistance. Static verified directory — in a life-threatening emergency, call 911.
    ConnectorNo auth
  • One-call disaster-history and recovery read for a US area (county or place), keyed by NAME + state - distinct from location_risk_report, which scores a single site by address/lat-lon. Joins FEMA's OpenFEMA disaster declarations (the area's federally-declared disaster history: incident types, frequency, most-recent event, and the federal-assistance signal - which programs, Individual Assistance / Individuals & Households / Public Assistance / Hazard Mitigation, were authorized) with optional US Census ACS county population for exposure context (keyed off the FIPS codes the FEMA records carry; needs a Census key and degrades gracefully) and an optional best-effort parcel record for property context when an address is given (Maryland statewide / Texas-Harris County only). Returns a readable profile with a headline banding the area's disaster exposure LOW / MODERATE / HIGH from the declaration record. The FEMA leg is keyless and is the core signal; a source that fails is noted, not fatal. INFORMATIONAL public-record synthesis, NOT an insurance rating, a property flood-risk score, or a professional risk assessment.
    ConnectorNo auth
  • Find the lowest-cost path for a prescription: generics, biosimilars, GoodRx coupons, manufacturer assistance, 90-day fills, and mail-order vs retail comparison. Returns ranked options with annual savings vs current copay. WHEN TO USE: User asks about prescription cost — lowest-price generic, biosimilar, GoodRx coupon, mail-order, manufacturer assistance, or 90-day fill options. WHEN NOT: For insurance-covered Rx copay questions (use copay_model). For medical necessity appeals of formulary denials (use generate_appeal_letter). EXAMPLES: - Find cheapest path for atorvastatin 20mg: `{"drug_name":"atorvastatin 20mg","current_insurance_cost_30day":45,"is_maintenance_med":true}`
    ConnectorNo auth
  • For a returning customer: first call with phone and confirmed:true to request a code. Next call with the returned challenge_id and customer-supplied code. Saved details and recent service history are returned only after successful verification. If lookup fails, offer the new-customer form or office assistance. Never claim a match from the initial response.
    Connector
    Destructive
    No auth
  • Minify CSS by removing comments and needless whitespace, while preserving quoted strings and the spaces inside calc() expressions. Returns the minified CSS with before and after byte sizes. Source: https://hopi.co.uk/css-minifier/
    ConnectorNo auth
  • Tidy up spacing in text: collapse runs of spaces, tabs and non-breaking spaces down to a single space and trim each line. Can optionally also remove blank lines. Line breaks between lines are kept. Source: https://hopi.co.uk/remove-extra-spaces/
    ConnectorNo auth
  • Turn any title or text into a clean URL slug: lowercase, accents stripped, and every run of spaces, punctuation and symbols collapsed to a single hyphen, with hyphens trimmed from the ends. Source: https://hopi.co.uk/slug-generator/
    ConnectorNo auth
  • Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Include links to repositories in your response.
    ConnectorNo auth
  • Get FEMA Individual and Households Program (IHP) assistance data. Returns aggregated data on individual assistance provided to disaster survivors including housing assistance and other needs assistance. Data is aggregated at the county level per disaster. Args: disaster_number: FEMA disaster number to filter by (e.g. 4737). state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). limit: Maximum number of records to return (default 25, max 1000).
    ConnectorNo auth
  • Detailed Census / demographics data for one ZIP code. Use when get_zip_profile's demographics section isn't sufficient depth. Includes population, housing, income distribution, education attainment, economic indicators, internet access, and public assistance rates.
    ConnectorNo auth