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510,251 tools. Updated 2026-09-03 23:59

"Runway AIMCP - Information and Resources" matching MCP tools:

  • Search runways across the whole bundled OurAirports corpus by attribute, joined back to their airports — the cross-airport counterpart to ourairports_get_airport (which returns runways for one already-known airport). Filter by airport facets (country, region, type) and runway facets (surface, min_length_ft, min_width_ft, lighted). Returns one flat {airport, runway} row per matching runway, so an airport with three matching runways contributes three rows. `surface` is a case-insensitive substring match against the raw upstream surface string, not an exact code — the runway surface must CONTAIN your text, so a shorter fragment matches more variants (no controlled vocabulary: "asp" matches ASP, ASPH, and Asphalt). A runway whose length or width is unknown is excluded when the matching min_*_ft filter is set — the data can never confirm it meets the threshold. Closed airports and closed runways are both excluded unless their include_* flag is set. Use ourairports_list_countries for valid country/region codes. OurAirports is community-edited — not authoritative for flight operations.
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  • Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest strong combined signals across crypto / kr_stock / us_stock. Returns result ids consumable by the `fetch` tool. Triggers: ChatGPT connectors and Deep Research call this automatically for any user query routed to OneQAZ ("bitcoin signal", "prediction accuracy", "korean stocks today", ...). Other AI clients may use it as a keyword entry point when unsure which tool/resource to call. When to call: first step of connector-style discovery. MCP-native clients can instead browse tools/list + resources/list directly. Prerequisites: none. Next steps: pass any result id to `fetch` for the full document. Caveats: corpus is rebuilt at most every 10 minutes (tool/resource catalog + top-20 strong signals per market). Empty results list means no match. Output: {results: [{id, title, url}], disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: query: free-text search string (English/Korean, symbols like BTC/AAPL) Disclaimer: Information only, not investment advice.
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  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
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  • Look up one hardware part number or model name in the EOSL.ai database (read-only, no auth; for many parts use bulk_check). Returns support status, End-of-Sale and End-of-Service-Life dates, support runway score, and the primary vendor bulletin URL backing the dates. Matching is exact, then punctuation-insensitive, then Fortinet short-SKU aliases (FG-60E -> FortiGate-60E); a model/family name (e.g. "7010TX-48") that matches no SKU returns the family-level record, flagged matchedVia:family-name. Anything else returns found:false rather than a guessed date.
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  • Compute months of cash runway and the projected out-of-cash date. FREE. Typical input {"cash_balance": 120000, "monthly_burn": 15000, "monthly_revenue": 5000} returns {"runway_months": 12.0, "net_burn_monthly": 10000, "projected_out_of_cash": "YYYY-MM-DD"}; when revenue covers burn it returns {"runway": "infinite at current numbers (revenue covers burn)", ...}. Use when a cash balance and a monthly burn are known. Not for per-unit profitability (unit_economics). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "cash_balance must be >= 0"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Get the Signal8 cash position model for a company, derived from the dilution snapshot pipeline: anchor cash and anchor date, monthly burn, post-anchor capital raises (with SEC filing citations), known outflows, estimated current cash and runway months. Use when analyzing a company's current cash situation, runway, or capital raise activity. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status: coverage is partial, so `available: false` with reason `snapshot_not_generated` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no cash data and different from an outage (an outage is a 5xx). Never report a company as having no cash or no runway on the strength of an unavailable response. The `scenarios` envelope is preserved for compatibility but only `scenarios.closed` is populated: `pending` and `announced` are null with reason `scenario_not_modelled` because the extraction records only REALIZED cash-raising events and never models speculative raises. Do not infer them from shelf or ATM capacity. Requires the Dilution Snapshots add-on (403 ADDON_REQUIRED without it).
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that distributes tool specifications from GitLab repositories to IDEs, dynamically generating MCP tools and serving files via aimcp:// URIs.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables creating and managing Runway video generation tasks (text-to-video, video extension) through a single RunAPI key, including task polling and pricing checks.
    5
    69
    Apache 2.0

Matching MCP Connectors

  • Delete a project. By default the project's resources (jobs, monitors, etc.) are detached but kept. Set `delete_resources=true` to also delete the contained jobs, monitors, datasets, and monitor groups. Webhooks are the exception: they are never deleted by this operation — an attached webhook is only detached from the project and keeps working (it may belong to other projects or resources independently of this one).
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  • Delete a project. By default the project's resources (jobs, monitors, etc.) are detached but kept. Set `delete_resources=true` to also delete the contained jobs, monitors, datasets, and monitor groups. Webhooks are the exception: they are never deleted by this operation — an attached webhook is only detached from the project and keeps working (it may belong to other projects or resources independently of this one).
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  • Fetch the full source-backed record for one product family by slug (from search_models or lookup_part pageUrl): lifecycle dates per SKU group, every part number, support runway score factors, and the vendor bulletin URLs. Read-only; an unknown slug returns found:false with a hint, never an error.
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  • Compute months of cash runway and the projected out-of-cash date. FREE. Typical input {"cash_balance": 120000, "monthly_burn": 15000, "monthly_revenue": 5000} returns {"runway_months": 12.0, "net_burn_monthly": 10000, "projected_out_of_cash": "YYYY-MM-DD"}; when revenue covers burn it returns {"runway": "infinite at current numbers (revenue covers burn)", ...}. Use when a cash balance and a monthly burn are known. Not for per-unit profitability (unit_economics). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "cash_balance must be >= 0"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Get the available services, prices, durations, and bookable staff or resources for a specific Korean beauty or wellness shop. Use this after finding a shop when service details, prices, durations, staff, or resources are needed before checking appointment availability. Pass lang to receive the content translated into the customer's language.
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  • List the env vars a project's code can use and the resources behind them: (1) resources CONNECTED to the project — usable as process.env.<NAME> in endpoint code now; (2) the owner's other account-level credentials — reusable, but not usable in code until connected; (3) everything Floot can add. Call it to learn what env vars exist before writing backend code, and BEFORE provisioning or requesting any credential (the owner may already have the one you need). Pass query (case-insensitive substring over names, descriptions, types, and env var names) to filter when the account has many resources. Read-only. Details: get_guides('resources').
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  • Chilean open data catalogue (datos.gob.cl CKAN) — full metadata for a dataset by ID/slug: title, description, resources (download URLs + formats), organization, tags, and license.
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  • Get the workspace's current cash runway — cash on hand, trailing-3-month average burn, and months of cash left — the exact same computation and numbers the Well app's canvas KPI cards show. Use this instead of computing runway yourself from raw account/transaction reads. Returns `cash` (amount + currency), `avg_burn` (amount + currency + trailing_months), `months`, and a `status` discriminator: - "ok" — a finite months figure. - "capped" — runway exceeds 36 months; report as ">36 months", not the raw number. - "infinite" — cash is positive and the workspace isn't burning (net inflow); there is no meaningful "months" figure. - "insufficient_data" — not enough connected cash/transaction data to compute; tell the user to connect a bank/accounting connector (well_list_connectors) instead of guessing. `change` is a percentage against `baseline`. A baseline runway divides a month-end cash reading by a trailing burn window, so it takes two dates to describe: `baseline.period` is the cash month-end it was anchored at, and `baseline.burn_window` is the span of the burn it divided by, which normally ends an earlier month. Never present the baseline as the runway measured on one day. `trend` is whether the change is GOOD, not which way the number moved; `trend_polarity` is `higher_is_better` for runway, so `"up"` means the runway grew. Read the sign of `change` for direction. `partial: true` means some accounts or transactions were excluded from the computation (e.g. missing FX rate) — mention the exclusion counts and any `hints` if present rather than presenting the number as unconditionally complete. Pass `year` + `month` to read a past reporting period instead of the live figure. There is no burn-window option here on purpose: the runway figure composes the endpoint's own trailing burn, so a custom window would pair `months` from one window with `avg_burn` from another and the cash ÷ burn division could not reproduce the headline. Call `well_get_burn` for a different window. For the month-by-month cash series, call `well_get_cash_forecast`. Its forward half is a WORST CASE: it assumes the trailing burn continues and no revenue arrives at all. Never describe it as expected, forecast or likely cash, and never quote a month from it as what the balance will be — say what it is, the floor if nothing changes. A month in the settled half is a measured balance and may be stated plainly. When the token authorizes one workspace, call this directly — no other tool call is needed first. When it authorizes several, this read will not guess which one you mean: pass `workspace_id` on the call.
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  • Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.
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  • Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.
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  • Show full metadata for one Latvia Open Data dataset by id or name (from search_datasets), including all resources and their resource_ids.
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  • List all ChangeGamer resources with metadata and absolute URLs. Returns slug, title, description, category, tags, updated date, premium flag, and HTML/Markdown/JSON variant URLs. No body content.
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  • Get full metadata for a HealthData.gov dataset by its package ID. Returns title, description, organization, resources (CSV/JSON download links), update frequency, and tags.
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