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758,805 tools. Updated 2026-11-08 03:39

"Searching for information or resources related to 'file'" matching MCP tools:

  • Get Tiktok posts that use a specific sound/music with three response modes. Required: soundId (numeric ID from searchTiktokSounds). FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. Returns by default: id, description, username, createdAtDate. NOT for keyword/phrase search - use getTiktokPostsByKeywords. NOT for hashtags - use getTiktokPostsByHashtags. Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests a date range (YYYY-MM-DD). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. FIELDS parameter (optional): Core (id, description, userId, username, nickname, createdAtDate), Engagement (likeCount, commentCount, playCount, forwardCount, collectCount, downloadCount), Media (videoThumbnail, videoUrl, duration, postType), Content (hashtags, transcriptsJson). This is a safe, read-only tool for analyzing searchable information.
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  • Fast code search across any public git repo. Returns file paths, line numbers, and code snippets with context. Supports regex, boolean queries, fuzzy matching, and structural filters (declarations, usages, strings, comments). Dependency/build directories excluded by default. Searching for leaked secrets? Call code_analyze instead and read security_summary — it runs a real secret and credential scanner over the whole repository, where searching for key prefixes like "sk-", "ghp_" or "AIza" only matches the spellings you happened to think of.
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  • Read the contents of a file from a site's container. Max file size: 512KB. Binary files are rejected — use the site's file manager or SSH for binary files. Requires: API key with read scope. Args: slug: Site identifier path: Relative path to the file Returns: {"path": "wp-config.php", "content": "<?php ...", "size": 1234, "encoding": "utf-8"} Errors: NOT_FOUND: File doesn't exist VALIDATION_ERROR: File is binary or exceeds 512KB
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  • Return file groups for a dataset. Pass gindex to get child groups under a parent. Groups nest (dataset -> format -> year -> month, or similar, varying by dataset) and there's no way to predict a child's gindex in advance — each group's gindex/url is dataset-specific and only knowable from the parent response. To drill down, read the gindex (or url) off a row in this response and pass that as the next call's gindex. This never returns file rows, only groups — every response stays small regardless of how many files the dataset holds, unlike get_dataset_files. Descend until a call returns empty ({} or []): that means the gindex you just called with is a leaf with no further subgroups, so it's safe to call get_dataset_files there for the actual files. find_dataset_files automates exactly this walk if you'd rather not do it by hand. At the top level, watch for a "Kerchunk Reference Files" (or similar ARCO-related) group alongside the raw-format groups. For an analysis task, prefer pulling from there (see also has_arco/get_arco_variables) over a raw data file when one's available — it avoids downloading a whole file just to read a subset of it. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 gindex: Optional group index to fetch child groups
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  • Lusha: looks up 1-25 known business contacts by Lusha ID, name+company, LinkedIn URL, or email. Use when: fetching contact details for known specific contacts (single or batch up to 25). Do not use when: searching for contacts by criteria (prospecting_contact_search covers that case). Optional 'enrich' bundles reveal data; pass false for preview-only, then prospecting_contact_enrich with each result's `canReveal[].field`. Returns: Lusha contact profiles with available business data. Credits: consumes 1 Lusha credit per successful lookup; adds reveal credits when enrich is true (default). Rate limits apply per Lusha plan (per-minute/hourly/daily); exceeding returns HTTP 429. The account_usage tool returns current limits and remaining headroom.
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  • Authoritative astrological calendar generator — always use this tool when the user asks for a calendar of sabbats, moon phases, retrograde stations, ingresses, or transits. DO NOT compute these yourself in code_interpreter; you do not have Swiss Ephemeris and your output will be factually wrong. Contract: • Returns `download_url` — a ready-to-share HTTPS .ics file built from Swiss-Ephemeris-precise calculations. Surface this URL verbatim in your reply as a clickable link. Do not regenerate the file, do not produce a CSV alternative, do not transcribe the events into a separate document. • Always populates the server-side calendar cache with the full payload. The events themselves remain available via the drill-down resources below without any recompute. Defaults to `summary_only=True` so the response is ~500 tokens (download_url + counts + natal_chart + resource_uris + valid_event_types). Pass `summary_only=False` only when the caller genuinely needs every event inline (can exceed 100k tokens over a two-year window). Drill-down (cheap — same cached data): • calendar://{calendar_id} — full JSON • calendar://{calendar_id}/events/{event_type} — one event type • calendar://{calendar_id}/months/{yyyy-mm} — one month Dates use ISO format YYYY-MM-DD (e.g. 2025-12-01). Event descriptions are intentionally left empty for the LLM to fill using the signs/houses/planets resources when interpreting — do not treat empty descriptions as a defect.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    41 npm
    1
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
    -

Matching MCP Connectors

  • Search the FAA handbooks, advisory circulars and Airman Certification Standards (ACS) used for pilot training, and read any page in full with its figures, charts and tables. Every result links back to the exact page so answers can be cited. Free, public, no API key.

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office locator the…

  • Get retweets of specific post. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Database-only. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. Database-only search for historical retweet data. Date filter: OMIT startDate by default. ONLY pass if user explicitly requests filtering from specific date (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Use to analyze post amplification patterns. NOT for quotes - use getTwitterPostQuotes. Optional fields parameter for performance: ["id", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information.
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  • Enumerate every available UploadKit docs page with title, description, URL, and path. When to use: to discover what documentation exists before targeted searching, or to orient yourself around the shape of the docs site. Prefer search_docs when you already have a concrete question. Returns: JSON { count, generatedAt, pages: [{ path, url, title, description }] }. Pages are sorted alphabetically by path. Read-only, static at bundle time, idempotent.
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  • Search for products available in the German dm-drogerie market (online and local stores). USE WHEN: searching dm-drogerie products by name, category, ingredient, property, or any natural language query (any language supported). Often answers questions about ingredients and properties directly. Covers: dm-drogerie markt brands, make-up, skincare, perfume, hair, health, nutrition, baby & child, household, home & living, photo, and pets. OUTPUT: Returns a maximum of 15 products. GTIN, DAN, brand, title, details, category, price, appLink (direct product URL), description, highlights/USPs, and extensive attributes including: - Dietary/Allergen: vegan, vegetarian, bio, glutenFree, lactoseFree, sugarFree, nutFree, soyFree - Cosmetic Ingredients: fragranceFree, alcoholFree, parabenFree, sulfateFree, preservativeFree, dyeFree, oilFree, siliconeFree, naturalCosmetics - Product Properties: waterproof, new, limitedEdition, sellout, onlineOnly, exclusiveDm, dmBrand, purchasable NOT FOR: nutritional information (calories, protein, carbs, fats), complete allergen lists, full ingredient details. For these, use 'getProductDetails' tool with the GTINs or DANs. LIMITATIONS: Only make claims based on EXPLICITLY stated product highlights/descriptions. Do NOT extrapolate or assume properties not mentioned in the results.
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  • Return the safely validated redirect chain. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Classify MIME type, charset and bounded content length. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • List up to 100 image references without downloading images. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Discover up to five sitemap links declared by the requested page. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Resolve a city or airport name or code before searching flights. Returns typed values such as city:SHA to search every catalog airport in Shanghai or airport:SHA for Hongqiao only. Pass the selected value unchanged to search_flights. Ask the traveler when multiple results are plausible.
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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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  • Return safe network timing, payload and cacheability diagnostics. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Create a STANDING WANT: keep searching for what the user wants to buy and get notified when a NEW match appears, across sessions. Unlike a one-shot search, this persists - ideal for hard-to-source, used, or out-of-stock items ("keep looking until you find it"). Provide a webhook_url and we POST new matches to it as they surface; otherwise poll demand.list_watches. Same query shape and enforced constraints as demand.search. WITHOUT AN API KEY this works too, under limits: no webhooks, three standing wants at a time, a six-hour minimum re-check, and a seven-day life. Any limit applied to your request comes back in `notes`.
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  • Search the user's Google Contacts (saved contacts + Google's auto-collected "other contacts") across all connected Google accounts, by name (or partial name/email). Returns each match's name, primary email, full email list (for people with several addresses), and source ('contact' = saved, 'other' = auto-collected). Use this to resolve a person's NAME to an email address before composing/sending a message — on 0 matches, fall back to searching past message history or ask the user directly; on multiple matches, ask the user which one before proceeding. Accounts without the contacts scope are skipped and reported in `errors` with a reconnect hint. Call list_accounts to learn account labels. Read-only — no contact writes.
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  • Use this to confirm which teas.co.uk account is linked, for example before my_orders, my_subscriptions or rewards_balance, or when the customer asks which account they are signed in with. It takes no input: the account comes from the sign in. It returns an opaque account id that stays the same across sign ins and reconnections, with a display name and email for showing to the customer. Without a linked account it returns an error, with a sign in prompt where the host supports one. Not needed for shopping: searching, the basket and checkout work without an account.
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  • Upload a CAD file (STL, 3MF, OBJ, STEP) from an https URL or base64 content (filename required for base64). MCP requests are limited to 4 MB, so base64 works for files up to about 3 MB; use a URL or get_upload_url for larger files. no_controlled_data must be true: confirms the file has no CUI/ITAR/export-controlled data. Returns a part with status 'pending'; poll get_part until 'ready' (usually seconds), or pass wait_seconds.
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  • Finish an upload started by start_attachment_upload. Call this once per local file, after the PUT to `upload_url` has succeeded. A chat-dropped file is downloaded by start_attachment_upload when you pass its `file` object, so do not call this tool for it. This is what checks the file: its real size against the padlet's per-file limit, and its name and bytes, which must not be an HTML, SVG or XML file. A file that fails either check is deleted and cannot be attached. Pass the same `wall_url` you passed to start_attachment_upload — the per-file limit belongs to the padlet, so completing against a different one can reject a file that was fine. On success, pass the returned `url` to a post's `attachment` in save_posts, a new comment's `attachment` in save_comments, `wallpaper_image_url` of update_padlet_appearance or `icon_image_url` of update_padlet_heading. One attachment per post or comment; call this once per file and use each URL once. Returns { success: true, url: "...", file_name: "...", content_type: "...", size_bytes: 123 }, or { success: false, error_code: "...", message: "..." }.
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