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654,809 tools. Updated 2026-10-15 12:39

"A platform for analyzing images using automated tools." matching MCP tools:

  • Get USER PROFILES of people who interacted with an Instagram post. Returns full user data (bio, followerCount, followingCount, etc.). RETURNS USER PROFILES: id, username, fullName, biography, followerCount, followingCount, isVerified, profilePicUrl. Use for analyzing WHO engaged with a post. NOT FOR COMMENT TEXT: To read the actual comment content (what people wrote), use getInstagramCommentsByPostId instead. INTERACTION TYPES: "commenters" (users who commented), "likers" (users who liked). WHEN TO USE THIS TOOL: Analyzing commenters/likers demographics, finding influencers who engaged, building audience profiles, network analysis of who interacts with posts. WHEN TO USE getInstagramCommentsByPostId: Reading comment text, sentiment analysis of what was said, analyzing discussion content. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for commenters when stale. PAGING (responseType="paging"): Async paginated results (1000 users per page with default fields), returns operationId - IMMEDIATELY call checkOperationStatus to get results. CSV export included via dataDumpExportOperationId. Supports pageNumber/tableName for subsequent pages. Optional fields (default: ["id", "username", "fullName"]). Available: biography, isPrivate, isVerified, followerCount, followingCount, mediaCount, profilePicUrl. This is a safe, read-only tool for analyzing searchable information.
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  • Check the status of a submitted job. Call this after submit_query to see if your job is ready. Status progression: submitted -> analyzing -> fetching -> clustering -> enriching -> completed/failed IMPORTANT: Jobs take several minutes to process. First check after ~1-2 minutes, then poll every 30-60 seconds. Broad searches can take 10-30+ minutes; for long jobs, poll every 60-120 seconds. Do NOT call this tool in a tight loop. Stop polling when status is `completed` or `failed`. Treat `submitted`, `analyzing`, `fetching`, `clustering`, and `enriching` as active states and continue polling. You don't need to wait for completion to pull results. Partial results are available during `enriching` — call pull_results after ~2 minutes, then poll status every 30-60 seconds and pull again for fresher results. Do not stop pulling just because an intermediate pull is empty/unchanged. Use `progress_validated` vs `candidate_records` to track whether more results may still appear (`progress_validated < candidate_records`). If transport/session fails, resume using the same `job_id`.
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  • Check the status of a submitted job. Call this after submit_query to see if your job is ready. Status progression: submitted -> analyzing -> fetching -> clustering -> enriching -> completed/failed IMPORTANT: Jobs take several minutes to process. First check after ~1-2 minutes, then poll every 30-60 seconds. Broad searches can take 10-30+ minutes; for long jobs, poll every 60-120 seconds. Do NOT call this tool in a tight loop. Stop polling when status is `completed` or `failed`. Treat `submitted`, `analyzing`, `fetching`, `clustering`, and `enriching` as active states and continue polling. You don't need to wait for completion to pull results. Partial results are available during `enriching` — call pull_results after ~2 minutes, then poll status every 30-60 seconds and pull again for fresher results. Do not stop pulling just because an intermediate pull is empty/unchanged. Use `progress_validated` vs `candidate_records` to track whether more results may still appear (`progress_validated < candidate_records`). If transport/session fails, resume using the same `job_id`.
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  • Liveness check for the Agent Watch API. Returns ok, service name, and version. Call this first to verify connectivity before using other tools.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Image toolkit: resize, convert, compress, crop, metadata, hashes, favicons, OCR, QR codes, barcodes.

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Upload images directly to Metadata platform library to create image creatives. Downloads images from provided URLs and uploads them to the platform. REQUIRED STEP IN AD CREATION WORKFLOW: This tool MUST be called between generate_brand_creative and create_update_image_ad. **WORKFLOW INTEGRATION:** This tool is part of the ad creation workflow and should be used: 1. BEFORE creating ads with create_update_image_ad (which requires imageLibraryId/creativeID) 2. IN COMBINATION with generate_brand_creative to create AI-generated images first, then upload them 3. When you need to upload existing images from external sources **COMMON WORKFLOWS:** - Upload existing images → Get imageLibraryId → Use in create_update_image_ad - Generate image with generate_brand_creative → Download generated image → Upload with this tool → Use in create_update_image_ad - Batch upload multiple creative assets for campaign preparation **IMPORTANT:** The returned image ID (imageLibraryId/creativeID) is REQUIRED when creating ads. Every ad needs a creative asset, so you must upload images first before calling create_update_image_ad. REQUIRED PARAMETERS: - images: Array of image URLs to upload IMAGE REQUIREMENTS: - URLs must be valid and publicly accessible - Supported formats: PNG, JPG, JPEG, GIF, WebP, and others - Images will be downloaded and then uploaded to platform - Filenames with spaces will have spaces replaced with underscores EXAMPLES: Single Image: upload_image([ "https://my-bucket.s3.amazonaws.com/images/sample-image.png" ]) Multiple Images: upload_image([ "https://my-bucket.s3.amazonaws.com/images/logo.png", "https://example-assets.s3.us-west-2.amazonaws.com/photos/banner.jpg", "https://content-bucket.s3.eu-west-1.amazonaws.com/uploads/hero image.webp" ]) RESPONSE FORMAT: Returns array of objects for each image: [ { "url": "https://original-url.com/image.png", "name": "image.png", "id": 12345, "success": true }, { "url": "https://failed-url.com/bad.png", "name": "bad.png", "id": null, "success": false, "error": "Download failed: Connection timeout" } ] ERROR HANDLING: - If one upload fails, others will continue - Each result includes success status - Failed uploads include error message - Successful uploads include platform image ID USE CASES: - Upload creative assets before creating ads - Import images from external sources - Batch upload multiple campaign images - Migrate images from other platforms
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  • Free quick website check of any website's homepage: HTTPS, mobile setup, load time and page weight, platform, security headers, basic accessibility signals, contact form or chat, and an up-to-date footer; 0 to 100 score, what passes and fails, how to fix each. Automated, homepage only, not a full website audit. 12 items (the platform is reported, not scored), about 12 seconds. Each item has a status (pass, partial, fail or could_not_check), evidence and a plain-English fix; the score covers only the items that could be checked. For TESSA's website and AI development service call get_web_ai_development_offer, for a full accessibility audit get_wcag_audit; to talk it through, book with request_strategy_session. url: the website to check, for example https://example.com
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  • List hosted images owned by the caller, with optional filters. ``source`` filters by upload origin: ``"upload"`` for directly uploaded images, ``"generated"`` for images created via the image generation tools. Omit to return all sources. ``visibility`` filters by access level: ``"public"`` or ``"private"``. Omit to return both. Pagination: pass ``next_cursor`` from a previous response as ``cursor`` to retrieve the next page. Returns ``{items: [...], next_cursor: str | null}``.
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  • Check if SHA-1 hash appears in Have I Been Pwned (HIBP) breach dataset using k-anonymity (5-char prefix only, full hash never leaves tool). Use for password breach audits; read-only, no data stored. Companion OSINT investigation tools: hash_lookup (file-hash malware family lookup, different namespace), email_disposable (throwaway-mail signal on associated accounts), username_lookup (social-platform exposure on associated handles). Free: 30/hr, Pro: 500/hr. Returns {found, count}.
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  • List every Stimulsoft product/platform that has indexed documentation available through this MCP server. Returns a JSON array of { id, name, description } objects covering the full Stimulsoft Reports & Dashboards product line (Reports.NET, Reports.WPF, Reports.AVALONIA, Reports.WEB for ASP.NET, Reports.BLAZOR, Reports.ANGULAR, Reports.REACT, Reports.JS, Reports.PHP, Reports.JAVA, Reports.PYTHON, Server API, etc.). CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid `platform` value to pass into `sti_search`. The returned platform `id` values are the exact strings accepted by the `platform` parameter of `sti_search`. This tool is cheap (no OpenAI call, no vector search) — call it freely whenever you are unsure about platform naming.
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  • List every Stimulsoft product/platform that has indexed documentation available through this MCP server. Returns a JSON array of { id, name, description } objects covering the full Stimulsoft Reports & Dashboards product line (Reports.NET, Reports.WPF, Reports.AVALONIA, Reports.WEB for ASP.NET, Reports.BLAZOR, Reports.ANGULAR, Reports.REACT, Reports.JS, Reports.PHP, Reports.JAVA, Reports.PYTHON, Server API, etc.). CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid `platform` value to pass into `sti_search`. The returned platform `id` values are the exact strings accepted by the `platform` parameter of `sti_search`. This tool is cheap (no OpenAI call, no vector search) — call it freely whenever you are unsure about platform naming.
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  • Search Mobbin for multi-step user flows (e.g. onboarding, checkout) using natural language. Returns evenly-spaced preview images inline along with metadata for each flow, including per-screen previews. Examine the returned images to understand each flow's actual content — do not describe screens based solely on metadata. Inline images are low-res previews for you to read, not for the user. Each result's `image_url` is the high-resolution image. Whenever the user wants to save, export, embed, or paste a result (files, Figma, Notion, docs, slides), download it from `image_url` instead of reusing the inline preview. Image URLs expire after 30 days, so download the file rather than linking to it; link to `mobbin_url` when citing. On hosts that support MCP Apps, also renders an interactive gallery of the results.
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  • Generate a video from a text prompt, optionally driven by reference images (image-to-video, first/last frame). This is asynchronous: it returns a task_id you poll with get_task(platform='video'). Generation usually takes 30-180 seconds. Pass wait_seconds to have the server poll for you. Video generation is the most expensive capability here — confirm the prompt with the user before spending on retries.
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  • Build a complete survey (questions, screeners, skip logic, images) from ONE research question using AI, as a draft in the active workspace. Slow (up to a few minutes). Review with list_questions, then set_targeting → preview_survey → launch_survey. Limited to 5 calls per hour.
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  • Create, schedule, queue, publish or cross-post content to connected social accounts. Use this for any request to post now, schedule for later, publish to multiple platforms at once, or add something to the posting queue. Supported platforms: YouTube, TikTok, Instagram, Facebook, LinkedIn, Pinterest, Threads, Bluesky, X and Google Business Profile. When the user wants to set the post up themselves or per-platform options are still open (TikTok privacy, YouTube title, Pinterest board), prefer compose_post, which opens an editable composer in app-capable hosts. Without scheduled_at the post is saved as a DRAFT — set publishNow: true to post immediately. Requires paid plan. Images are fitted to each platform automatically at publish (format, size, Instagram's 4:5–1.91:1 ratio by padding, consistent carousels); 4:5 images look best on Instagram, 9:16 suits TikTok and Reels. Posts that break a rule Unsora can't fix (video length/size, image count, caption length) are rejected with an `issues` list per platform. YouTube only takes video and uses `title` (video title). Pinterest needs media (1 image, 2–5 images or a video). X takes text, 1 image, 2–4 images or 1 video (up to 140 s, 512 MB) with a caption of at most 280 characters. Google Business Profile takes text or exactly 1 JPG/PNG image (max 5 MB), no video, summary max 1500 characters, with an optional call-to-action button (google_business). In app-capable hosts the result renders as an interactive panel the user can see and act on — do NOT repeat its contents as a list or table in your reply; add only what the panel doesn't say.
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  • Generate stock-report PNG images and return their URLs. This is intentionally separate from analyze_stock so the JSON analysis stays fast and light. The backend reuses the same Growth Engine image generators used by email/social publishing. Args: symbol: Stock symbol, e.g. "RXRX". force: Regenerate images instead of using cached PNGs. Defaults to True so manually requested images reflect the latest available data. types: Optional subset of chart types. Allowed values are "ai_prediction", "iv_radar", "option_pressure", "monte_carlo", and "equity_curves". Omit to generate every chart type.
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  • Generate stock-report PNG images and return their URLs. This is intentionally separate from analyze_stock so the JSON analysis stays fast and light. The backend reuses the same Growth Engine image generators used by email/social publishing. Args: symbol: Stock symbol, e.g. "RXRX". force: Regenerate images instead of using cached PNGs. Defaults to True so manually requested images reflect the latest available data. types: Optional subset of chart types. Allowed values are "ai_prediction", "iv_radar", "option_pressure", "monte_carlo", and "equity_curves". Omit to generate every chart type.
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  • Get deduplicated creative count, first-discovered creative count and ad-plan count for one game, platform and explicit date range (maximum 180 days). Creative count uses lifetime overlap; first-discovered count uses first appearance within the range. No paging is needed. Always use this tool for platform totals rather than counting pages from discovery tools.
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  • Compare two screenshots — a baseline/expected capture and a live/current capture of (nominally) the same screen — using a perceptual pixel-diff. Returns the similarity score and changed-pixel count as text, AND returns the baseline, live, and diff images as images you can view directly, so YOU judge whether any flagged difference is a real regression (layout shift, missing/broken element, wrong color/theme, wrong or garbled text, unexpected new content) or just benign noise (dynamic content like timestamps/ads/carousels, anti-aliasing, rendering noise) — this tool does not make that call for you. Provide either two raw base64 images, or a review_id (from list_visual_reviews) to pull a stored baseline instead of re-fetching it.
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