"Using LinkedIn to find GASP animations" matching MCP tools:

• bulk_schedule

  SendIt

  Schedule multiple posts at once from CSV content. USE THIS WHEN: • User has a spreadsheet or list of posts to schedule • Planning a content calendar for a month • Migrating content from another tool CSV FORMAT (required columns): • platform: linkedin, instagram, x, tiktok, threads • scheduled_time: ISO 8601 format (e.g., 2024-02-15T10:00:00Z) • text: Post content/caption OPTIONAL COLUMNS: • media_url: Image or video URL • first_comment: First comment to add (Instagram/LinkedIn) • hashtags: Additional hashtags to append PROCESS: 1. First call with validate_only: true to check for errors 2. Review validation report with user 3. Call again with validate_only: false to execute import

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• linkedin_ads_report

  Hermoso

  LinkedIn ad performance — impressions, clicks, cost, website conversions, leads and social actions — pivoted by CAMPAIGN (default), CAMPAIGN_GROUP, CREATIVE, ACCOUNT, CONVERSION, PLACEMENT_NAME, IMPRESSION_DEVICE_TYPE, SERVING_LOCATION… or by AUDIENCE DEMOGRAPHICS: MEMBER_COMPANY_SIZE, MEMBER_INDUSTRY, MEMBER_SENIORITY, MEMBER_JOB_TITLE, MEMBER_JOB_FUNCTION, MEMBER_COUNTRY_V2, MEMBER_REGION_V2, MEMBER_COMPANY. The MEMBER_* pivots are what LinkedIn is uniquely good at — job title, seniority and company size are targeting dimensions no other platform reports — and LinkedIn allows exactly ONE pivot per report, so ask for them one at a time and join the answers yourself. An unknown pivot or granularity is refused BY NAME rather than forwarded. On a demographic pivot LinkedIn returns only the top 100 values, DROPS any value under 3 events (so the rows will not sum to the campaign total) and lags 12–24 hours behind the performance numbers — the note says so, every time. Window via since/until (YYYY-MM-DD). ZERO rows genuinely means no delivery in that window; say exactly that and never present zeros as measured performance. A LinkedIn TEST ad account NEVER returns analytics, and the note says so when that is what you are looking at. Read-only, free.

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• linkedin_page_analytics

  Hermoso

  ORGANIC performance for one of the brand’s LinkedIn COMPANY PAGES: total followers, followers gained (organic vs paid) across the window, Page views (all / unique / desktop / mobile), and the impressions, unique impressions, clicks, likes, comments, shares and engagement rate of the Page’s posts. This is what answers “is our LinkedIn actually working” and “did that post land”. It is NOT linkedin_ads_report — that covers PAID campaigns; LinkedIn excludes sponsored activity from these figures entirely. Pass postUrns (the urn:li:share:… / urn:li:ugcPost:… that post_to_linkedin_page returned) for PER-POST numbers; LinkedIn forbids a date range together with named posts, so that switches to lifetime-per-post. Only Pages the user ticked in Manage accounts are readable — a Page the account merely administers is refused, by design. LinkedIn keeps 12 months, follower figures run about 2 days behind, and it OMITS posts with no recorded activity rather than returning zeros: report an absent post or an unavailable section as MISSING data, never as zero. Read-only, 0 credits. Needs LinkedIn connected with the organization scopes.

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• analyze_audio

  Clueso

  Analyze an audio file. Modes: - transcript: Speech-to-text with word-level timestamps. Works on BOTH speech and sung lyrics — routes to a music-aware provider when content is detected as music. Use to get `words[{w,start_ms,end_ms}]` for caption timing, script editing, or word-level visual sync. Note: features.has_speech may report false on pure music while transcript still successfully extracts lyrics. - silences: list of silent regions with start/end/peak. Use for auto-trim, smart-split, or pause-aware editing. - beats: tempo (bpm) + beat positions for music tracks. Returns empty for non-music. Use to align animations/zooms to a beat. - features: duration, peak/rms/lufs loudness, speech-vs-music heuristic. Cheap dispatcher — call once to decide which other mode to use, or to get duration_ms for source_duration when calling add_audio. Source: provide exactly one of mcp_upload_id (from upload tool) or file_url (already-public URL, e.g. a find(type='music') result or Clueso CDN file). Optional time range: range_start_ms / range_end_ms crops the analysis window.

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• listAnimationPresets

  Ludo AI Game Assets

  List the available animation presets along with their perspectives and the eight supported compass directions (N, NE, E, SE, S, SW, W, NW). Synchronous GET with no request body: it returns an animations array (each with id, name, category, description, duration, preview_url, and — when the preset can be retargeted onto a rigged 3D model — clip_url), a deduplicated perspectives array, and the directions list. This is a free discovery endpoint and does not charge credits. Use it to obtain the preset_id, perspective, and direction values that transferMotion needs, and to find motion preset names you can reference when animating; pair it with transferMotion (to apply a preset onto a sprite), animateSprite (text-prompt animation), or animate3DModelPreset (apply a clip_url-backed preset to a rigged 3D model). Requires an API key (user scope).

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• animate3DModel

  Ludo AI Game Assets

  Generate text-driven skeletal animations for an already-rigged 3D model. Pass the rigged GLB in `model` (URL or base64) and a motion `prompt` (e.g. "walking", "swinging its axe"). The model must already have a skeleton — rig it first via the rig endpoint if not. Synchronous: returns num_variants candidate animations (default 4), each a standalone animation-only GLB (skeleton + one clip, no mesh) in `glb_url` plus an mp4 `preview_url`, so you can pick the best one and fuse it with your model in a game engine or three.js. mode selects the representation — rot_trans (default, most faithful) or rot_only (for retargeting). Animation quality is hit-or-miss, which is why multiple candidates are returned. Credits are charged once per call regardless of variant count, only on success. Requires an API key (user scope). Credits: This endpoint consumes 0.2 credits per call.

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• post_to_linkedin_page

  Hermoso

  Publish a post to one of the user’s LinkedIn COMPANY PAGES — text, plus optionally an image, a video, a 2–20 image CAROUSEL (LinkedIn calls it a MultiImage post; pass the slides in order as imageUrls[]), or a LINK POST with a real preview card (linkUrl). USE linkUrl WHENEVER THE POINT OF THE POST IS A LINK: LinkedIn disables URL scraping for API partners, so a url sitting in the text renders as plain text with no card, and the card’s title, description and image only exist if you pass linkTitle / linkDescription / linkThumbnailUrl — read them off the page and supply them. The media need not be a Hermoso render — it must be Hermoso-HOSTED because we upload the bytes to LinkedIn ourselves, and upload_file turns ANY file the user already has into such a URL. ORGANIC CAROUSELS ARE COMPANY-PAGE ONLY — a personal profile cannot publish one and is refused by name, so send a deck here rather than to post_to_linkedin. This is a DIFFERENT thing from post_to_linkedin, which publishes to the person’s own profile: pick the one the user actually asked for and never substitute. organizationId comes from list_linkedin_pages; omit it only when the account administers exactly one Page. This PUBLISHES immediately and PUBLICLY — ALWAYS show the user the exact text and get an explicit yes BEFORE calling. A VIDEO POST CAN CARRY CAPTIONS AND ITS OWN COVER, and both are attached only during the upload: pass captionsSrt (SubRip content — LinkedIn is watched with the sound off) and videoThumbnailUrl (otherwise LinkedIn picks a frame for you). LinkedIn does NOT allow the image, video, captions or thumbnail of a published post to be swapped afterwards, so get all of that right first (the copy can still be edited with manage_linkedin_post).

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• picsart_media_get_scene_schema

  Picsart GenAI

  Returns the JSON Schema for an MP Scene document. Use this to construct valid scenes from scratch or to remind yourself of the exact shape of layers, animations, effects, and transitions before calling picsart_media_validate_scene or checking a frame with picsart_media_contact_sheet. The returned schema is authoritative; any document that validates against it is accepted by the renderer. Pass `name` (e.g. "MpMediaContent") to get back just that one definition instead of the full ~66 KB schema — its internal $refs point into the full schema's #/definitions.

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• create_linkedin_conversion_rule

  Hermoso

  Create a LinkedIn CONVERSION RULE — the object LinkedIn attributes conversions to, and the prerequisite for send_linkedin_conversions. `type` is the behaviour being tracked (LEAD, PURCHASE, SIGN_UP, QUALIFIED_LEAD, KEY_PAGE_VIEW…). THE RULE IS BORN ASSOCIATED WITH NOTHING: until you attach campaigns with associate_linkedin_conversion_campaigns it attributes nothing, which also makes it the safe place to send test events — LinkedIn has no test mode on the wire, unlike Reddit. Pass associateAllCampaigns:true to attach it to up to 200 ACTIVE campaigns instead; that spends nothing but it changes what those live campaigns optimise toward and what their reports count, so ask the user first. Attribution windows are 1, 7, 30 or 90 days (365 only for SUBMIT_APPLICATION, PURCHASE, ADD_TO_CART, QUALIFIED_LEAD and LEAD). Creating a rule cannot spend money — it is a definition. Free.

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• send_linkedin_conversions

  Hermoso

  Stream conversion events to LinkedIn (Conversions API) — server-side conversion tracking for things that happen where the Insight Tag cannot see them: a CRM deal closing, an offline sale, a phone order, a qualified lead. Needs a rule from create_linkedin_conversion_rule, and that rule needs campaigns associated or nothing is attributed. PASS THE PERSON’S PLAIN EMAIL ADDRESS as `email` — Hermoso applies LinkedIn’s own normalization and SHA-256 hashes it on the server, and the plaintext is never stored or logged. NEVER COMPUTE THE HASH YOURSELF: an invented digest is a well-formed 64-character string that matches nobody, and LinkedIn accepts it with a 201, so the failure is completely silent (`emailSha256` exists only for a source system that already holds real digests). SEND EVERY IDENTIFIER YOU HAVE — email, liFatId (the li_fat_id click id LinkedIn appends to ad click URLs), ipAddress, firstName WITH lastName, an externalId, a lead URN — the match rate is what decides whether the conversion counts at all. Events must have happened in the past 90 DAYS. ACCEPTED IS NOT MATCHED: success means LinkedIn took the events, not that any matched a member, and no API reports the match rate — check attribution in linkedin_ads_report over the following days and never present acceptance as conversions. Up to 5000 events per call. Free.

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• list_namespaces

  redm-mcp

  Orient yourself: list available doc categories and their namespaces. Use once at session start (or when unsure) before applying a `category=` / `namespace=` filter to `browse` / `semantic_search`. NOT a content search. Categories: `natives` (PLAYER, ENTITY, VEHICLE, …), `vorp`, `rsgcore`, `oxmysql`, `discoveries` (AI, weapons, peds, animations, clothes, objects, …), `jo_libs` (menu, notification, callback, framework-bridge, …, dev_resources, redm_scripts), `guides`, `learnings`.

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• submit_content_to_pipeline

  freedom-mcp

  Submit manual content to a pipeline for transformation. Use when user says "add this to my changelog", "create a newsletter from this", "transform this content", or provides content to be processed. Content will be transformed using the pipeline's persona and ICPs. Social pipelines publish to the pipeline's declared destination (x/linkedin/instagram/facebook/threads — set via update_pipeline; undeclared defaults to x) after human approval; instagram items REQUIRE media_artifact_ids. [write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

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• linkedin_audience_count

  Hermoso

  HOW MANY LINKEDIN MEMBERS a targeting spec reaches, before any budget is committed — the cheapest sanity check there is on a B2B audience, and it needs no ad account. Pass locations plus optional include:{titles, industries, seniorities, staffCountRanges, jobFunctions, skills, …}; search_linkedin_ads_targeting resolves any of those names to the URNs LinkedIn demands, free. THE CRITICAL THING TO SAY WHEN REPORTING: a returned total of 0 means the audience is UNDER 300 PEOPLE, not that it is empty — LinkedIn suppresses any count below 300 to protect member privacy, and 300 is also the minimum audience a campaign may run against, so a 0 means this targeting is too narrow to advertise to. The figure is a rounded approximation, so quote it as an estimate and never as a headcount. Read-only, 0 credits.

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• list_namespaces

  RedM Mcp

  Orient yourself: list available doc categories and their namespaces. Use once at session start (or when unsure) before applying a `category=` / `namespace=` filter to `browse` / `semantic_search`. NOT a content search. Categories: `natives` (PLAYER, ENTITY, VEHICLE, …), `vorp`, `rsgcore`, `oxmysql`, `discoveries` (AI, weapons, peds, animations, clothes, objects, …), `jo_libs` (menu, notification, callback, framework-bridge, …, dev_resources, redm_scripts), `guides`, `learnings`.

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• search_linkedin_ads

  Hermoso

  Structured LinkedIn Ad Library search by company name, keyword, or companyId — use for a targeted B2B pull; use research_ads for open-ended research. Returns compact JSON {advertiser, headline, description, cta, link, media, dates, impressions} per ad — LinkedIn is the one library exposing real impression counts. Spends ScrapeCreators credits (~1).

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• find_similar_brands

  market

  Given an active catalog brand name or merged alias, find similar brands using brand-profile vectors generated during product indexing. Unknown or ambiguous seeds return no brands. Returns up to 20 brands.

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• chieflab_record_manual_metrics

  ChiefLab

  P116 — paste-what-you-see metric fallback for channels without public-API measurement (X, LinkedIn, Email, landing pages, Product Hunt). USE WHEN a published action's channel doesn't have a public-JSON metrics endpoint (anything except hacker_news / reddit) AND the founder is ready to paste the visible numbers. Reads metadata.proof.artifactUrl to confirm the post is recorded, writes the provided metrics into metadata.proof.metrics + measuredAt, auto-classifies the outcome (channel-specific thresholds: X needs likes/replies, LinkedIn needs reactions/comments, Email needs opens/clicks/replies, etc.), and creates next-move actions just like the auto-measurement path. Returns the metric schema for the channel so callers can render the right form fields.

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• create_inference

  Retro Diffusion Pixel Art MCP

  Generate images using the public /v1/inferences endpoint. For the highest quality prefer RD Pro styles (rd_pro__*); they support reference_images for character/style consistency. For animation styles prefer start_inference_job + get_inference_job instead — animations are long-running. Use `input_image` for the main source image, `reference_images` for extra per-inference guidance, and `style_reference_images` only on create_user_style/update_user_style. The response excludes raw base64 image payloads to keep MCP outputs compact.

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• picsart_media_apply_motion_preset

  Picsart GenAI

  Apply a named motion preset (glow_pulse, ken_burns, scale_pop, ...) to a visual layer in an MP Scene. Returns the updated scene with the preset's animations + effects merged into the target layer. Each preset declares an `appliesTo` set of layer content kinds (text/media/color) -- mismatches are rejected with a clear `preset_kind_mismatch` error. Discoverable presets and their parameter shapes are listed under `supports.motionPresets` in `picsart_media_get_capabilities`. Pure: takes the full scene by value, returns a new scene; no server-side state.

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• rebuild_character

  spriteship

  FREE, no AI. Re-render every spritesheet, atlas and export of a character from its durable cached frames. This is the repair/refresh tool: use it when a sheet looks stale or wrong after a series of edits, or when a previous rebuild failed. It never re-generates art, so it cannot change what the character looks like — only how the frames are packed and normalized. Always rebuilds ALL animations: heights are normalized ACROSS animations, so rebuilding a subset would size that subset against itself and make animations drift apart on screen. Takes no options. Returns a jobId — poll get_job.

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