"chrome" matching MCP tools:

• upload_assetA

  SlideForgeA

  Upload assets for PowerPoint (.pptx) generation: company template, logo, image, or document — or AI-generate an image. Purposes: • logo — company logo for chrome (PNG/JPG/SVG, max 5MB) → logo_id • image — image for the Image component (max 10MB) → asset_id • theme — company template PPTX → theme_id; slides with it render NATIVELY on the template (masters/layouts/chrome) • generate_image — AI-generate via `prompt` → asset_id ($0.05) • translate — PPTX to translate → deck job_id ($0.02/slide; requires `target_language`) • pdf — PDF → editable slides; pass `target_language` to also translate • recreate — image OF a slide → editable PPTX slide ($0.10; honest annotate/preserve fallback, refusals free). Use `image` to just place a picture Files >3MB (pdf/translate/theme) — and recreate on chat hosts — omit `data`: a drop-zone appears in the result card; bytes never pass through the agent.

  ConnectorNo auth

• create_agentA

  WebRun Browser AutomationA

  Create a scheduled agent — a recurring or one-time automation that runs on a timer in a real Chrome browser. Two modes. WORKFLOW MODE: pass workflowId plus a schedule — the platform copies everything else (prompt, starting URL, output contract, model, proxy, policy, files) from the workflow and bakes your variables into the prompt; results and memory stay centralised on the workflow. STANDALONE MODE: omit workflowId and provide name, prompt (a Goal / Ground rules / Stages / Output browsing runbook — see the prompt field description), and a schedule; the connection's environment is used automatically. Ask the user only what it should do and when it should run, in plain language — pick sensible defaults for everything else and state them; never ask about environments or technical settings. Results are delivered to your connected chat and appear in session history.

  ConnectorNo auth

• post_editA

  HermosoA

  MECHANICAL post-production on an EXISTING rendered video (its served mp4 URL) — an ordered plan of whitelisted primitives executed by ffmpeg (+ Chrome for typeset cards) in seconds for ~2 credits flat, NO AI model, the original untouched (returns a NEW video). The lane for: append a branded end card ('add an end card with our logo and website' — ADDS its seconds, never re-renders), trim, speed (0.5-2x), mute (whole or a window), audio_gain (-20..+6 dB), fade_out, corner logo watermark, anti-AI film grain. Up to 6 ops per plan, applied in order. Brand assets (name/domain/logo/accent) load from the workspace brand automatically; override per-call if needed. NEVER use generate_video/render_ad for these mechanical asks.

  ConnectorNo auth

• make_explainerA

  HermosoA

  Turn a TOPIC into a finished narrated explainer video. Writes a sectioned script, paints a BURST of pictures per section (about one every 1.5s — most of them one-detail edits of the frame before, so it reads as movement rather than a slideshow), narrates each section with TTS, holds each picture PERFECTLY STILL for its own slice of the narration (the motion is the CUT RATE — a slow move on a still shimmers), then composites the end card (and any on-screen text you asked for) with the Chrome+ffmpeg engine the ads use (text is never model-painted, so it never garbles). BURNED ON-SCREEN TEXT IS OFF BY DEFAULT — the narration carries the point and the pictures carry the story, so the film ships clean unless the user asks otherwise; `captions:true` adds held key points and `subtitles:true` adds narration-timed CAPS (see both). It is an image film WITH motion, not N video-model renders — that's what keeps it affordable. `style` picks the visual family: the default 'cinematic' is photoreal editorial; every other id is a STYLED, strictly non-photoreal look (illustrated / collage / clay / pixel …) that first renders ONE style-key image and then locks every scene to it, so the whole film holds one look. Cost at the default frame density: a ~130-credit hold for a 60s explainer on the default style, ~100 styled; `frameDensity:'lean'` roughly halves it and `'minimal'` (one picture per section) is ~30. All settle to the exact per-frame image + narration spend (a longer target = more sections = more). Takes SEVERAL minutes — one image render per frame; independent frames are painted concurrently, so it is far faster than the frame count suggests. Needs the writing model and a narration voice engine connected. NOT the tool for a short product ad — use render_ad or generate_video for those, and make_template_ad for the deterministic native formats.

  ConnectorNo auth

• add_screenshotA

  cobaltA

  Append a screenshot (with an optional note) to a review created by create_review. The image is stored durably in Cobalt — this is the way to persist screenshots that would otherwise be lost when they only pass through a browser tool. Call once per screen as you go. NO BROWSER? Pass `page_url` and Cobalt renders the page for you (Cloudflare headless Chrome): `viewport` 'desktop' (1280px) or 'mobile' (390px phone, 2x), `full_page` true for the whole scroll. Use it for every screen you would otherwise only describe in text — a review without screenshots is a reduced deliverable, and the mobile viewport is how you test the phone fold without a device. The result includes the rendered image: LOOK AT IT before moving on. Cookie walls and modal veils are stripped automatically, but if what came back is still not the shot (an overlay, a blank, the wrong page), retake it in place with `replace_item` = that item's number, adding `hide_selectors` for anything you can name — never leave a useless capture in the review and never append a second copy after it. Otherwise the input is `image_url`: POST the image to https://cobaltcapture.com/api/upload (multipart field `file`, no auth, returns {url, key}) and pass back the url. If a browser-automation script took the screenshot, do that POST inside the same script (Python `requests.post(...)`, or Playwright's request context) rather than shelling out to curl afterwards — same result, one less permission prompt. The `image` base64 parameter exists for small images only: tool-call arguments are model-generated text, so a real screenshot means emitting tens of thousands of base64 tokens perfectly, and an image you received as an image cannot be transcribed at all.

  ConnectorNo auth

• set_pwa_brandingA

  agent4.ioA

  Configure a specific **agent's** PWA branding and install experience (applies to that agent's `/s/` standalone chat pages — what gets installed to the home screen is one agent's entry page, so each agent is its own app). - `agent`: the agent name whose install branding to configure (required). - `icon_source_url`: public URL of one master image (PNG/JPG/WebP ≥192×192, ideally a square logo). The server derives the full set: browser-tab favicon(48) + install icons 192/512 + Android maskable(512). Non-square images are centre-cropped. Once set, "Add to Home Screen" installs this agent's own icon. - `install_prompt`: prompt style — `banner` (a dismissible slim bar inside the chat page, default), `card` (a card shown on first visit; more visible, more intrusive), `off` (no prompt). Android/Chrome uses the system install dialog; iOS automatically switches to a "Share → Add to Home Screen" illustrated guide. Icon/prompt params optional, settable independently. Returns the final config (icon URLs + install_prompt). Full walkthrough in the Cookbook's configure-branding.

  ConnectorNo auth

• add_account_tokenA

  openFlowA

  Attach one of YOUR OWN Google accounts to the pool using an oauth_token captured on the USER'S OWN machine (password/2FA never leave it). This is the self-serve onboarding path — no server-side browser, no SSH. HOW TO GET oauth_token: the agent must first run the local grabber on the user's machine (it opens a native Chrome at accounts.google.com/EmbeddedSetup; the user logs in and clicks "Принимаю"/Accept): npx --yes github:... local_grab (or: node browser-tools/local_grab.js 9222) It prints {"email", "oauth_token"}. Pass those here. The oauth_token is SINGLE-USE: if this call fails, the user must re-login and grab a FRESH token — never retry the same one. On success the account is bound to YOUR key's owner group and the worker picks it up within ~30s (no restart). Adding an account is always allowed — even for a key that has already spent its free quota, since that is a prerequisite, not a reward. Only onboard accounts YOU control — a master token grants full account access.

  ConnectorNo auth

• docx_to_pdfA

  ToolForteA

  Convert a Word .docx behind a public URL (max 20MB) to PDF. Headings, lists, tables and images are laid out on A4 by headless Chrome. Returns a hosted download URL valid for 24 hours. Free demo: 3 renders/day. With a free ToolForte API key (Authorization: Bearer tf_..., get one at https://toolforte.com/developers), which spends your monthly unit balance: 25 units per render.

  ConnectorNo auth

• docx_to_pdfA

  toolforteA

  Convert a Word .docx behind a public URL (max 20MB) to PDF. Headings, lists, tables and images are laid out on A4 by headless Chrome. Returns a hosted download URL valid for 24 hours. Free demo: 3 renders/day. With a free ToolForte API key (Authorization: Bearer tf_..., get one at https://toolforte.com/developers), which spends your monthly unit balance: 25 units per render.

  ConnectorNo auth

• foura_singleA

  mcpA

  Send one HTTP request and return the response. Use it for static pages, JSON APIs, and server-rendered HTML. Set browser, os, or version when a target refuses the default Chrome. Switch to foura_proxy if the response is blocked, and use foura_browser when the page needs JavaScript.

  ConnectorNo auth

• executeA

  Agentic MermaidA

  Run JavaScript in an isolated sandbox; return a value. One call composes edits. Submit JavaScript; declaration types are guidance. No promises, async/await, dynamic import, or type annotations. Hosted note: execute runs in an on-demand isolate and costs more than the direct render_svg/render_ascii/render_png/verify/describe tools — prefer those for plain render/verify calls. For straightforward structured edits, prefer the declarative mutate/build tools; reserve execute for logic the ops don't express. Hosted mermaid.renderMermaidSVG*, renderMermaidASCII*, and layoutMermaidWithReceipt calls force security:'strict' and embedFontImport:false; caller code cannot weaken that host policy. SDK declaration: type DiagramKind = 'flowchart' | 'state' | 'sequence' | 'timeline' | 'class' | 'er' | 'journey' | 'architecture' | 'xychart' | 'pie' | 'quadrant' | 'gantt' | 'mindmap' | 'gitgraph' | 'radar' type MutationOp = { kind: string; [field: string]: unknown } type Result<T, E = { code: string; message: string }> = { ok: true; value: T } | { ok: false; error: E } interface SourceLocation { readonly line: number; readonly col: number } interface SourceMapSpans { readonly preserved: PreservedSourceSpans; readonly nodes: ReadonlyMap<string, SourceSpan>; readonly edges: ReadonlyMap<string, SourceSpan>; readonly groups: ReadonlyMap<string, SourceSpan>; readonly labels: ReadonlyMap<string, SourceSpan> } interface SourceMap { readonly nodes: ReadonlyMap<string, SourceLocation>; readonly edges: ReadonlyMap<string, SourceLocation>; readonly groups: ReadonlyMap<string, SourceLocation>; readonly labels: ReadonlyMap<string, SourceLocation>; readonly spans?: SourceMapSpans } interface ValidDiagram { readonly kind: DiagramKind; readonly source: SourceMap } type ExternalFamilyId = `family:${string}` interface ExtensionCompatibility { readonly [contract: string]: string | undefined readonly core?: string readonly scene?: string } interface ExtensionProvenance { readonly owner: string; readonly source: string; readonly reference?: string } interface ExtensionIdentity<Kind extends string = string> { readonly id: `${Kind}:${string}` readonly kind: Kind readonly version: string readonly compatibility: ExtensionCompatibility readonly provenance: ExtensionProvenance } interface SourceSpanPoint { readonly offset: number; readonly line: number; readonly col: number } interface SourceSpan { readonly start: SourceSpanPoint; readonly end: SourceSpanPoint } interface PreservedSourceSpans { readonly source: SourceSpan readonly wrapper?: SourceSpan readonly frontmatter?: SourceSpan readonly initDirectives?: readonly SourceSpan[] readonly accessibilityDirectives?: readonly SourceSpan[] readonly header: SourceSpan readonly body: SourceSpan } interface SourcePreservationReceipt { readonly version: 1 readonly classification: 'unsupported' | 'inventory-only' | 'unknown' readonly source: string readonly header: string readonly upstreamFamilyId?: string readonly mermaidVersion: string readonly spans?: PreservedSourceSpans } interface ParseError { readonly code: string readonly message: string readonly line?: number readonly col?: number readonly preservation?: SourcePreservationReceipt readonly help?: string } interface ExtensionValidDiagram { readonly kind: ExternalFamilyId readonly descriptorIdentity: ExtensionIdentity<'family'> readonly source: SourceMap } interface PreservedValidDiagram { readonly kind: ExternalFamilyId readonly source: SourceMap readonly body: { readonly kind: 'preserved' readonly representation: 'opaque' | 'unknown' readonly source: string readonly preservation: SourcePreservationReceipt readonly spans: PreservedSourceSpans readonly diagnostic: { readonly code: 'UNSUPPORTED_FAMILY' | 'UNKNOWN_HEADER' | 'FAMILY_DESCRIPTOR_MISMATCH' readonly message: string readonly help: string } } } type ParsedDiagram = ValidDiagram | ExtensionValidDiagram | PreservedValidDiagram type RenderedRegionKind='node'|'edge'|'label'|'canvas'|'group'|'cluster'|'lane'|'band'|'compartment'|'plot'|'ring' type DiagramActionSecurity='safe'|'unsafe'|'source-only'|'unsupported' interface RenderedRegion { id:string;kind:RenderedRegionKind;elementId?:string;parentId?:string;bounds:{x:number;y:number;w:number;h:number};sourceLine?:number } interface DiagramActionRecord { id?:string;regionId?:string;family:DiagramKind;target:string;action:'href'|'call'|'callback';raw:string;line?:number;href?:string;security:DiagramActionSecurity;executable:false;message?:string } interface RenderedLayout { version: 1; kind: DiagramKind | ExternalFamilyId; bounds: { w: number; h: number }; nodes: unknown[]; edges: unknown[]; groups: unknown[]; regions?: RenderedRegion[]; actions?: DiagramActionRecord[] } interface VerifyResult { ok: boolean; warnings: unknown[]; layout: RenderedLayout } type CheckMermaidSpec = string[] | { include?: string[]; exclude?: string[]; exact?: boolean } interface CheckMermaidResult { ok: boolean; missing: string[]; unexpected: string[]; facts: string[] } type MermaidConfigScalar = string | number | boolean | null type MermaidConfigValue = MermaidConfigScalar | MermaidConfigValue[] | { [key: string]: MermaidConfigValue | undefined } type MermaidRuntimeConfig = { [key: string]: MermaidConfigValue | undefined } interface StyleColors {bg?:string;fg?:string;line?:string;accent?:string;muted?:string;surface?:string;border?:string} type SceneStyleRole="node"|"edge"|"edge-label"|"group"|"group-header"|"label"|"actor"|"lifeline"|"activation"|"message"|"block"|"note"|"class-box"|"member"|"entity"|"attribute"|"relationship"|"cardinality"|"pie-slice"|"legend"|"bar"|"series"|"point"|"axis"|"grid"|"plate"|"section"|"task"|"milestone"|"marker-line"|"rail"|"period"|"event"|"score"|"actor-pill"|"service"|"junction"|"icon"|"title"|"defs"|"prelude"|"chrome" type ExactSceneStyleRole="node"|"edge"|"group"|"group-header"|"label"|"actor"|"relationship"|"pie-slice"|"legend"|"bar"|"series"|"point"|"task"|"milestone" type BindableSceneStyleRole="group-header"|"actor"|"relationship"|"pie-slice"|"legend"|"bar"|"series"|"point"|"task"|"milestone" type RoleStyleSpec={"fontFamily"?:string;"fontSize"?:number;"fontWeight"?:number;"letterSpacing"?:number;"textTransform"?:"uppercase"|"lowercase"|"capitalize";"textColor"?:string;"paddingX"?:number;"paddingY"?:number;"cornerRadius"?:number;"lineWidth"?:number;"bendRadius"?:number;"fillColor"?:string;"borderColor"?:string;"strokeColor"?:string;"headerFillColor"?:string;"cue"?:"none"|"outline"|"double-line"|"pattern"} type RoleStyleFor<R extends ExactSceneStyleRole>=R extends "node"|"actor"?Pick<RoleStyleSpec,"borderColor"|"cornerRadius"|"fillColor"|"fontSize"|"fontWeight"|"letterSpacing"|"lineWidth"|"paddingX"|"paddingY"|"textColor"|"textTransform">:R extends "edge"|"relationship"?Pick<RoleStyleSpec,"bendRadius"|"fontSize"|"fontWeight"|"letterSpacing"|"lineWidth"|"strokeColor"|"textColor"|"textTransform">:R extends "group"?Pick<RoleStyleSpec,"borderColor"|"cornerRadius"|"fillColor"|"fontFamily"|"fontSize"|"fontWeight"|"headerFillColor"|"letterSpacing"|"lineWidth"|"paddingX"|"paddingY"|"textColor"|"textTransform">:R extends "group-header"?Pick<RoleStyleSpec,"borderColor"|"cue"|"fillColor"|"fontFamily"|"fontSize"|"fontWeight"|"letterSpacing"|"lineWidth"|"strokeColor"|"textColor"|"textTransform">:R extends "label"?Pick<RoleStyleSpec,"fontSize"|"fontWeight"|"letterSpacing"|"textColor"|"textTransform">:R extends "pie-slice"|"task"|"milestone"?Pick<RoleStyleSpec,"borderColor"|"cue"|"fillColor"|"lineWidth"|"strokeColor">:R extends "legend"?Pick<RoleStyleSpec,"borderColor"|"fillColor"|"lineWidth"|"strokeColor"|"textColor">:R extends "bar"|"point"?Pick<RoleStyleSpec,"borderColor"|"fillColor"|"lineWidth"|"strokeColor">:R extends "series"?Pick<RoleStyleSpec,"borderColor"|"lineWidth"|"strokeColor">:never type RoleStyles={[R in ExactSceneStyleRole]?:Readonly<RoleStyleFor<R>>} type SemanticBindingChannel="category" interface SemanticBinding {channel:SemanticBindingChannel;value:string;slot:string;role?:BindableSceneStyleRole} type BrandConstraint={kind:"contrast";action:'warn'|'error';role?:SceneStyleRole;minimum?:number}|{kind:"accent-area";action:'warn'|'error';maxFraction:number}|{kind:"mono-role";action:'warn'|'error';role:SceneStyleRole} interface StyleSpec {"formatVersion"?:1;"$schema"?:string;"name"?:string;"blurb"?:string;"colors"?:StyleColors;"font"?:string;"roles"?:RoleStyles;"semanticSlots"?:Readonly<Record<string,Readonly<RoleStyleSpec>>>;"bindings"?:readonly SemanticBinding[];"constraints"?:readonly BrandConstraint[];"stroke"?:"crisp"|"jittered"|"freehand";"roughness"?:number;"bowing"?:number;"passes"?:number;"strokeWidth"?:number;"fill"?:"none"|"hachure"|"solid"|"wash";"hachureAngle"?:number;"hachureGap"?:number;"fillWeight"?:number;"washOpacity"?:number;"washEdge"?:number;"backdrop"?:"plain"|"paper-ruled"|"grid";"intent"?:"premium"|"draft"|"lofi";"mono"?:boolean} type StyleInput=string|StyleSpec type ArchitectureVisualOverrides = Readonly<Record<string, unknown>> interface SharedRenderOptions { bg?:string;fg?:string;line?:string;accent?:string;muted?:string;surface?:string;border?:string;font?:string;style?:StyleInput | StyleInput[];padding?:number;nodeSpacing?:number;layerSpacing?:number;wrappingWidth?:number;componentSpacing?:number;transparent?:boolean;interactive?:boolean;shadow?:boolean;class?:{ hierarchicalNamespaces?:boolean };architecture?:{ visual?:ArchitectureVisualOverrides };timeline?:{ maxWidth?:number };journey?:{ experienceCurve?:boolean };gantt?:{ dependencyArrows?:boolean; criticalPath?:boolean };mermaidConfig?:MermaidRuntimeConfig;embedFontImport?:boolean;compact?:boolean;idPrefix?:string;security?:'default' | 'strict';ganttToday?:string;seed?:number;} interface ConfigDiagnostic { code: 'INEFFECTIVE_CONFIG'; field: string; message: string } interface TerminalProjectionDiagnostic { code: string; feature: string; message: string } interface SvgRenderOptions extends SharedRenderOptions { onConfigDiagnostic?:(diagnostic: ConfigDiagnostic) => void;} interface AsciiRenderOptions extends SharedRenderOptions { useAscii?:boolean;paddingX?:number;paddingY?:number;boxBorderPadding?:number;colorMode?:'auto' | 'none' | 'ansi16' | 'ansi256' | 'truecolor' | 'html';theme?:{ fg?:string; border?:string; line?:string; arrow?:string; accent?:string; bg?:string; corner?:string; junction?:string };maxWidth?:number;targetWidth?:number;onConfigDiagnostic?:(diagnostic: ConfigDiagnostic) => void;onProjectionDiagnostic?:(diagnostic: TerminalProjectionDiagnostic) => void;} interface LayoutRenderOptions extends SharedRenderOptions { debug?:boolean;regions?:boolean;actions?:boolean;onConfigDiagnostic?:(diagnostic: ConfigDiagnostic) => void;} interface RenderArtifactDiagnostic { code: string; message?: string; reference?: string; feature?: string; input?: string; canonicalId?: string; removal?: { release: string; date: string } } interface CapabilityResolution { readonly id: `${string}:${string}`; readonly range: string; readonly level: 'required' | 'preferred' | 'optional'; readonly status: 'selected' | 'unsupported' | 'incompatible'; readonly version?: string } interface CapabilityDecision { readonly version: 1; readonly accepted: boolean; readonly resolutions: readonly CapabilityResolution[] } interface RenderExecutionDecision { readonly family: { readonly id: string; readonly version: string };readonly backend: { readonly mode: 'scene'; readonly requestedId: string; readonly selectedId: string; readonly version: string; readonly hostPolicy: boolean } | { readonly mode: 'family-svg' };readonly digest: string;} interface RenderRequestReceipt { version: 2; output: 'svg' | 'png' | 'ascii' | 'unicode' | 'html' | 'layout'; sharedRequestDigest: string; requestDigest: string; appearanceDigest: string; capabilityDecision: CapabilityDecision; diagnostics?: readonly RenderArtifactDiagnostic[]; graphicalProjectionDigest?: string; executionDecision?: RenderExecutionDecision } interface RenderedSvg { svg: string; receipt: RenderRequestReceipt } interface RenderedAscii { text: string; receipt: RenderRequestReceipt; terminalStyle: Record<string, unknown>; outputPolicy: Record<string, unknown> } interface RenderedLayoutArtifact { layout: VerifyResult['layout']; receipt: RenderRequestReceipt } declare const mermaid: { parseRegisteredMermaid(source: string): Result<ParsedDiagram, ParseError[]> createMermaid(kind: DiagramKind, opts?: { direction?: 'TD' | 'TB' | 'LR' | 'BT' | 'RL' }): ValidDiagram buildMermaid(kind: DiagramKind, ops: MutationOp[], opts?: { direction?: 'TD' | 'TB' | 'LR' | 'BT' | 'RL' }): Result<ValidDiagram, { code: string; message: string; opIndex: number }> asFlowchart(diagram: ValidDiagram): ValidDiagram | null asState(diagram: ValidDiagram): ValidDiagram | null asSequence(diagram: ValidDiagram): ValidDiagram | null asTimeline(diagram: ValidDiagram): ValidDiagram | null asClass(diagram: ValidDiagram): ValidDiagram | null asEr(diagram: ValidDiagram): ValidDiagram | null asJourney(diagram: ValidDiagram): ValidDiagram | null asArchitecture(diagram: ValidDiagram): ValidDiagram | null asXyChart(diagram: ValidDiagram): ValidDiagram | null asPie(diagram: ValidDiagram): ValidDiagram | null asQuadrant(diagram: ValidDiagram): ValidDiagram | null asGantt(diagram: ValidDiagram): ValidDiagram | null asMindmap(diagram: ValidDiagram): ValidDiagram | null asGitGraph(diagram: ValidDiagram): ValidDiagram | null asRadar(diagram: ValidDiagram): ValidDiagram | null mutate(diagram: ValidDiagram, op: MutationOp): Result<ValidDiagram> verifyMermaid(input: ParsedDiagram | string, opts?: { suppress?: string[]; labelCharCap?: number; renderOptions?: SharedRenderOptions }): VerifyResult analyzeMermaid(diagram: ValidDiagram): Record<string, unknown> analyzeMermaidSource(source: string): Result<Record<string, unknown>> describeMermaidFacts(diagram: ValidDiagram): string[] describeMermaidFactsSource(source: string): Result<string[]> checkMermaid(diagram: ValidDiagram, spec: CheckMermaidSpec): CheckMermaidResult checkMermaidSource(source: string, spec: CheckMermaidSpec): Result<CheckMermaidResult> serializeMermaid(diagram: ParsedDiagram): string renderMermaidSVG(input: ParsedDiagram | string, opts?: SvgRenderOptions): string renderMermaidSVGWithReceipt(input: ParsedDiagram | string, opts?: SvgRenderOptions): RenderedSvg renderMermaidASCII(input: ParsedDiagram | string, opts?: AsciiRenderOptions): string renderMermaidASCIIWithReceipt(input: ParsedDiagram | string, opts?: AsciiRenderOptions): RenderedAscii layoutMermaidWithReceipt(input: ParsedDiagram | string, opts?: LayoutRenderOptions): RenderedLayoutArtifact describeOps(family: DiagramKind): Record<string, { name: string; required: boolean; type: string; note?: string }[]> opSignatures(family: DiagramKind): string[] }

  ConnectorNo auth

• trigger_workflowA

  WebRun Browser AutomationA

  Run a workflow now in its deployed environment. This is the ONLY correct way to run or TEST a saved workflow — a run started here carries the workflow's rules, tracking and memory; browser_task/create_session runs do not. When the user says "run it", "run it once", "test it" or "try it" about a workflow, this is the tool they mean. Drives a real Chrome browser: the run may navigate, fill forms, and submit data on third-party websites as the workflow's prompt requires. Pass values for the workflow's {{variables}} in `variables` (stored variableValues defaults fill any gaps). Returns a sessionId — poll get_task_status for the result.

  Connector

  Destructive

  No auth

• get_articleA

  Anahana Content MCPA

  Fetch a specific Anahana article as markdown, given its full URL, site-relative path (e.g. "/en/angel-numbers/111-angel-number/"), or a bare slug from search_content results (e.g. "111-angel-number"). Tries two fetch modes against the live site in order: (1) content negotiation — GET the article URL with `Accept: text/markdown`; (2) the path-based markdown mirror at `<article-url>index.md`. Both are live. Page chrome (skip link, table of contents with dead anchors, back-to-top anchor, analytics pixel) is stripped, so what you get back is the article body. If both modes fail, returns a clear error naming the canonical HTML URL instead of silently failing. Works in all 24 languages: a full URL or a site-relative path already names its language, and a bare slug is resolved in the language given by `language` (English by default). Article slugs are identical across languages — only the title and body are translated — so the same slug plus a different `language` gives you the same article in that language.

  ConnectorNo auth

• create_character_from_photoA

  openFlowA

  Create a new Flow character whose portrait (and optionally body) is a REAL PHOTO, not a text description or generation. Both photos become the character's slot-0 (portrait) and slot-1 (body) images directly — Flow's own upload mechanism in its New Character composer, discovered live 2026-07-11 — no image generation call happens for either slot, so resemblance is exact, not "similar style". Boots the on-demand Chrome for this account (~15-30s, longer if body_photo_base64 is also given), same as create_character, no Android/recaptcha involved. photo_base64: raw base64-encoded image bytes, no data: URI prefix — portrait. body_photo_base64: same format, optional — ideally a full-body photo of the same person, for a guaranteed-exact body image (no generation at all for that slot). physical_description: IMPORTANT, look at the photo yourself and write this — a detailed physical description (build, hair color/style, eye color, clothing, distinguishing features), similar in spirit to: "Adult male, mid-20s, ~180cm, lean build. Medium-brown wavy hair, light blue-grey eyes, faint stubble. Wears a dark grey hoodie, dark jeans, white sneakers." This gets saved into the same "Character Info" field as Flow's own UI. CORRECTED same day as this tool was first built: an earlier version of this doc claimed body/multi-view generation can never stay consistent with a photo-seeded portrait — WRONG, confirmed live. The actual missing ingredient was this detailed text spec — with it, both generate_character_turnaround and generate_character_expression_sheet below produce genuinely consistent, on-model results (reproduced live against Flow's real UI, not just guessed). Skip this only for a bare portrait-only character with no further generation planned. Next step after you have entity_id: update_character for a display name, then generate_character_turnaround / generate_character_expression_sheet if you want those (skip if you already passed body_photo_base64 for an exact body photo — generating over it would replace the real photo with a generated approximation). Fidelity note added 2026-07-11 (later same day): "genuinely consistent" above means consistent WITH ITSELF across panels (same invented-looking person in every view), not necessarily an exact match to the real person's face — real-world feedback was "I don't recognize myself." Good for stylized/invented character sheets; if the goal is content that's recognizably the actual person, use generate_video_with_reference (r2v) instead, which conditions on the real photo's pixels rather than a description. name: optional, added 2026-07-25 — give the character a short human-readable name and it's saved to YOUR list (list_characters()), keyed on the uploaded photo as the identity reference (portrait_media_id). Once named, use generate_with_face(character=name, prompt=...) for further images instead of tracking portrait_media_id yourself. Must be unique among your own characters; a clash does NOT fail the call — the character is still created in Flow, just reported back with a `registration_error` instead of a `name` in the result, so pick a different name and register it yourself later if that happens.

  ConnectorNo auth

• browse_looksA

  3DLogo.ioA

  Use when the user wants to see what is possible or pick a style before designing: the example looks (chrome, gold, glass, holographic, brushed metal, gradient, 3D text, animated), each with a rendered example image, what it is best for, the presets behind it, and an editor link that applies it. Works without an account. Do not use to get material ids for another tool; list_materials has the full catalogue.

  ConnectorOAuth

• audit_cssA

  CSS SOTAA

  Scan CSS source and report every feature in it that does not meet a browser support target. Targets are either a Baseline level ("baseline-widely", "baseline-newly") or an explicit browser list ("chrome 120, safari 17.4, firefox 128"). Reports the offending line, what is wrong (unsupported, too old, prefix-only, partial), and the minimum version that would work. Browserslist queries like "last 2 versions" are not supported. IMPORTANT when reading Baseline-level results: Baseline describes a whole feature, and a feature can be "Limited" because one part of it is not interoperable while the exact declaration you wrote works everywhere. "Cursor styles" is Limited, so `cursor: pointer` is reported — yet it only lacks iOS Safari, where a cursor is meaningless rather than broken. Each finding therefore also names the browsers missing that specific key, or says that the key ships everywhere and the status comes from elsewhere in the feature. Read that line before removing anything: a key that ships everywhere is still not proof the code works, since it may be inert without the parts that do not.

  ConnectorNo auth

• get_browsersA

  FlowseryA

  Get visitors grouped by browser name (Chrome, Safari, Firefox, Edge, and others), ranked by visitors descending, for a date range. Names only: use get_breakdown with dimension browser_version for versions, get_operating_systems for the OS split, and get_devices for desktop versus mobile. Pass filter_browser to other tools to scope them to one browser. Rows carry value, visitors, revenue, and percentage with pagination.total; limit defaults to 100 (max 1000). Dates default to the last 30 days; all filter_* arguments apply. Requires websiteId or domain with a workspace token.

  ConnectorOAuth

• add_captionsA

  Valmera — agentic AI video editorB

  PROJECT-SCOPED: this call acts only on the explicit project_id and returns the project identity with its result. Burned captions. mode='from_transcript' (word-timed from the real transcript, recommended) or mode='off', or items=[{text,start,end,style?}] (source seconds) for text the user dictates. PREMIUM PRESETS (style.preset) are professionally designed looks with real fonts. SAFE DEFAULTS: 'clean' (white Plus Jakarta Sans, complete short phrases, size-only hierarchy), 'documentary' (restrained subtitles on a translucent contrast panel), and 'broadcast' (left-aligned news/explainer lower third). SOCIAL/CREATIVE: 'reels' (FLAGSHIP short-form system: tight two-line hierarchy, warm hero word and multi-stage elastic word landings), 'podcast' (bold white words land on screen as spoken, keywords light up in the accent color, get a highlight box or serif italics, numbers render HUGE), 'beast' (loud MrBeast-style: ALL-CAPS impact font, centered, the spoken word pops in the accent color), 'karaoke' (an accent box follows each spoken word), 'spotlight' (ONE glowing word at a time, centred, uppercase — the modern single-word look for hype/motivation/fast talking; the ONLY preset that belongs mid-frame), 'elegant' (calm lower-third, serif-italic accents — interviews/luxury), 'lyric' (phrase-led music/quote typography), plus stacked/iridescent/chrome/editorial/fashion/luxe/impact/retro/neon composed looks; 'classic' is the plain legacy look. If style is omitted, the tool chooses a coherent preset deterministically from the measured format, speech pace and brief — it does not make every project wear the same caption skin. PLACEMENT: multi-word presets default to the BOTTOM, clear of the face — do not move them to 'middle'; only a single-word-at-a-time look may sit centred. With a preset, sparse emphasis is AUTO-SELECTED from the KEPT transcript when emphasis_words is omitted; measured vocal stress leads on short-form/cached audio, with numbers and semantic outcome words as fallback. pass a verbatim list only when specific words are required, or [] to explicitly disable hierarchy. highlight_color sets the accent (default warm yellow); uppercase overrides the preset's casing; position bottom/top/middle overrides its placement and LOCKS that band for the whole video (no shot-by-shot position changes); anchor_y similarly locks an exact vertical frame fraction. Omit both to let collision-aware placement adapt by shot. Other style fields: color '#RRGGBB', size s|m|l|xl (presets are already big at 'm'), size_scale 0.5-3.0, dynamic:true (legacy karaoke, no preset), animation fade|pop|slide_up|punch|blur_in|whip|flash|rise|drop|elastic|bounce|swing|zoom_blur, or 'none' to turn a preset's animation OFF (instant words), single_line:true to guarantee one rendered row per transcript-caption state regardless of the preset's normal flow/stack layout, max_words_per_caption 1-16. Default modern look is 1-2 words at a time, stacked levels, fade in (preset 'stacked', max_words_per_caption 2) — not a sentence subtitle. Example — modern reel captions: {mode:'from_transcript', style:{preset:'stacked', animation:'fade'}, max_words_per_caption:2}. Example — dictated title card: {items:[{text:'CHAPTER ONE', start:0, end:2.5, style:{preset:'beast'}}]}. Stack presets (stacked/iridescent/chrome/fashion/luxe/editorial/impact) compose 1-2 words across lines of very different SIZES; font picks a bundled family, emphasis 'big' enlarges keywords WITHOUT recolouring them, leading below 1.0 overlaps the lines so a smaller word fades in behind the hero. Production controls include outline_color/outline_width, shadow, background_color/background_opacity, tracking and text_align.

  ConnectorOAuth

• install_extensionA

  Proving LabA

  Install or uninstall the capture extension in Firefox or Chrome without a window, without a click and without administrator rights. Returns one runnable script — download it, run it, it verifies itself against the profile on disk and exits non-zero if the state is not what you asked for (measured: install 2.9 s, uninstall 2.1 s). Call this when a capture route needs the extension present, when a run is finished and it should be gone again, or when asked whether an agent can set up a browser extension by itself. Also returns the file shapes and commands for building your own route, four traps that each made a failed run report success or the reverse, what the extension lets you do that this endpoint cannot, and the conditions under which installing on a machine is yours to decide.

  ConnectorNo auth

• get_doc_pageA

  agent-manager.dev documentationA

  Return one page of agent-manager.dev as Markdown, with the site chrome removed. The slug comes from search_docs or list_doc_pages and may contain slashes.

  ConnectorNo auth

• list_materialsA

  3DLogo.ioA

  Use when you need a material id: the presets the 3D logo editor renders (chrome, gold, glass, holographic, neon, clay, wood...), each with its category and whether it needs Pro. Ids are exact strings for build_logo_editor_link, create_text_logo_project and update_project. Do not use to show the user what a look is like; browse_looks has example images.

  ConnectorOAuth