"namespace:io.github.healersfind-alt" matching MCP tools:

• update_doc

  Dock

  Replace a workspace's doc body. Takes EITHER TipTap JSON (`content`) OR Markdown (`markdown`): pass markdown when you're producing prose from scratch (CommonMark + GFM is the format every LLM emits natively), pass TipTap JSON when you need structural edits to an existing doc (round-trip from get_doc, mutate, write back). Beyond CommonMark + GFM, the markdown layer recognizes: - **** → inline image. Use ANY publicly-reachable URL (HTTPS preferred — HTTP fires browser mixed-content warnings; data: URIs are rejected by `allowBase64: false`). Renders block-feeling via CSS (max-width 100%, rounded corners, drop shadow) even though the underlying node is inline. The `alt` text is the accessible label and shows in place of the image if the URL fails to load — always include it. To attach a user-uploaded file, hit `POST /api/workspaces/:slug/upload-image` from the human-side UI first to get a Vercel Blob URL, then reference that URL in the doc markdown. - A **lone video-file URL on its own line** (extension `.mp4` / `.m4v` / `.webm` / `.mov` / `.mkv`, signed-params + timestamp fragments tolerated) → native HTML5 `<video controls preload="metadata">` player. Source URL is referenced directly: no iframe, no transcoding, no quality loss. Vercel Blob is the canonical hosting (5 GB per file, served with HTTP range requests so 4K masters stream cleanly), but ANY publicly-reachable HTTPS URL works. Sample shape: a paragraph containing only `https://cdn.dock.ai/2025-launch-walkthrough.mp4`. Mid-paragraph URLs stay as plain links — surrounding prose disqualifies the auto-promotion (matches the oEmbed convention). - **```mermaid** fenced code → diagram (15 sub-types: flowchart, sequence, gantt, ER, state, class, mindmap, timeline, pie, quadrant, sankey, XY-chart, packet, block, journey) - **$x$** inline math, **$$x$$** block math (LaTeX, KaTeX-rendered, scripts/href disabled) - **> [!NOTE]** / **[!TIP]** / **[!IMPORTANT]** / **[!WARNING]** / **[!CAUTION]** GFM-style callouts - **```svg** fenced code → sanitized SVG embed (the universal escape hatch for custom diagrams; scripts and event handlers stripped at write time) - **<details><summary>X</summary>BODY</details>** → collapsible toggle - **[[slug]]** / **[[org/slug]]** / **[[slug#tab]]** / **[[slug#row-id]]** / **[[slug|display]]** → cross-references to another workspace, surface, or row. Resolved against your accessible workspace set; targets you can't see render as plain text on the reader's side (no info leak). Every cross-ref creates a Backlink row so the target's 'referenced from' sidebar shows this doc. - **[@Label](dock:mention/<kind>/<id>)** → @-mention of a user or agent. `<kind>` is `agent` or `human`; `<id>` is the principal id. Optional query params `?org=<slug>` (agents) or `?email=<addr>` (humans) for renderer hints. Mentioning a human writes a `doc_mention` row to their inbox + sends a deep-link email; mentioning an agent fires the `doc.mention_added` webhook so the agent service can wake up and reply. Re-saving a doc that already mentions someone does NOT re-fire — only newly-added mentions notify (computed from a diff against the previous body). Use this from agent code to ping a teammate when a doc you wrote needs their eyes. - A **lone URL on its own line** from a safelisted provider (YouTube, Vimeo, Loom, Figma, CodePen, GitHub gists) → sandboxed iframe embed. Other URLs stay as regular links. Surrounding prose disqualifies the auto-embed. Per-format caps: max 50 Mermaid diagrams (30 KB source each), max 500 math expressions (8 KB source each), max 50 SVG blocks (100 KB source each post-sanitize), max 200 cross-refs per doc, max 500 @-mentions per doc, max 20 embeds per doc, max 20 videos per doc (5 GB per file at upload time), max 200 images per doc. See /docs/doc-formats for examples. Last-write-wins; no CRDT merge. Emits doc.updated + doc.heading_added + doc.mention_added events as applicable. Requires editor role. Multi-surface workspaces optionally accept `surface_slug` to write to a specific doc tab; omitted writes the primary doc surface. Append-only updates have a dedicated `append_doc_section` tool that doesn't require fetching the body first.

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• update_doc_section

  Dock

  Replace a single section of a workspace's doc body, identified by its heading text. The targeted edit complement to `update_doc` (full replacement) and `append_doc_section` (append-only at the end). Use this when the agent maintains a recurring section (e.g., a 'Status' block in a launch-prep doc, an 'Outcomes' block in a meeting note) and only needs to refresh that one piece. Without it, agents are forced into 'GET → splice → PUT' which costs tokens, costs latency, and races against any concurrent human edit elsewhere in the doc (last-write-wins clobbers). Section semantics: the FIRST heading whose plain text matches `heading` exactly (case-sensitive on trimmed text) is found, and everything from that heading up to the next heading at the same OR shallower level is replaced. So a `## Outcomes` section ends at the next `## …` or `# …`; nested `### …` subsections stay part of the replaced range. Returns 404 when no matching heading exists; strict by design so a misremembered heading fails loudly. `markdown` is the FULL replacement, INCLUDING the heading line: pass it back as-is to keep the heading, change it to rename or rewrite the heading, change the heading level, or omit the heading entirely (collapses the section into the prior one). Empty `markdown` deletes the section. Same markdown surface as update_doc / append_doc_section (CommonMark + GFM + `` images + lone-URL videos (mp4/webm/mov/mkv/m4v) + Mermaid + KaTeX + callouts + SVG + details + cross-refs + @-mentions + URL embeds). Identity / attribution / events / doc-guard all flow through the same writeDocBody path as the other doc endpoints, so @-mentions in the new section fire `doc.mention_added` for newly-added mentions just like update_doc does. Requires editor role. Multi-surface workspaces optionally accept `surface_slug` to target a specific doc tab.

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• seo_audit

  ContrastAPI

  One-shot SEO audit of a domain's homepage with a 0-100 composite score + a `missing_signals` list of concrete fixes. Use BEFORE pitching SEO work to a prospect, when triaging a lead's marketing maturity, or as a structured pre-flight before deeper auditing tools (Lighthouse / SEMrush). 10 audit rules each worth 10 pts: title present, title length 30-60 chars (Google SERP truncation window), meta description present, meta description length 50-160, exactly one H1, canonical link, >=3 OG tags, JSON-LD present, image alt-text coverage (proportional), HTTPS. Strictly homepage-only — we do NOT crawl the site. Ethical floor: target's robots.txt is honoured — `Disallow: /` for ContrastAPI OR `*` returns 403 `error.code = robots_txt_disallow` and we DO NOT fetch. `Cache-Control: no-store`/`private` skips our cache write (`cache_respected=false` in the response). Per-target eTLD+1 throttle (60 req/min) prevents weaponising via subdomain rotation. All target-derived strings/lists are `_untrusted`. Free: 30/hr, Pro: 500/hr. Returns {domain, fetched_url, status_code, title_untrusted, meta_description_untrusted, canonical_url, h1_untrusted, h1_count, h2_count, h3_count, images_total, images_missing_alt, internal_link_count, external_link_count, og_tags, json_ld_present, score, missing_signals, cache_respected, summary}. Returns 502 on DNS/TCP/TLS failure; 403 `robots_txt_disallow` when the target opted out.

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• get_formation_preflight_checklist

  Default Privacy

  Pre-checkout review of every field about to be submitted on a formation intake: entity name, jurisdiction, package tier, EIN option, and any flagged combinations (e.g. personal name + opaque structure, DE jurisdiction + non-investor context). Returns warnings the user should resolve OR explicitly accept before paying. When to call: AFTER the user has picked names, jurisdiction, and tier — usually after `suggest_llc_entity_names` and before `start_anonymous_llc` / `create_formation_draft_session`. The preflight is a soft gate, not a hard block; it surfaces tradeoffs in plain language so the agent can talk the user through them. Input Requirements: - All fields OPTIONAL but PREFER passing everything the user has decided so far (`jurisdiction`, `package_tier`, `ein_option`, `entity_name`, alt names, `user_intent`). Empty inputs return a generic checklist. Output: `{ checklist: [{ field, status, message, severity }], warnings, ready_for_checkout, suggested_next_step }`. `ready_for_checkout` is true when no high-severity warnings remain. PREFER citing the structure-decision guides when warnings flag a structural mismatch (wrong jurisdiction for use case, package too thin for stated risk). Resolve warnings before calling `start_anonymous_llc`.

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• run_sql

  Drillr — The financial MCP for AI agents

  Read-only PostgreSQL SELECT over financial / market / alt-data tables — returns structured rows. Hard rules (query fails otherwise): - SELECT only, no CTE (`WITH ... AS`) — use subqueries. - Date/period columns are TEXT — compare as strings (`period_end >= '2024-01'`). No `::date` cast, no `INTERVAL` math. - No `ROUND(float8, int)` — use `CAST(x AS DECIMAL(10,2))` when rounding. - Filter structured tables by ticker (`WHERE ticker IN ('AAPL','MSFT')`; screening: add `ticker NOT LIKE '%-%'` to drop preferred stock). Alt-data is macro/industry — no ticker filter. Before querying a table, call `get_table_schema(table)` — it returns that table's columns PLUS its required filters, gotchas, and ticker formats. For alt-data tables call `list_tables(categories=[...])` to discover them. Sibling tools: SEC filing narrative → sec_report_search; qualitative company discovery → company_search; recent news / market events → signal_list. Tables by domain (call get_table_schema for detail): - Market: price_volume_history (OHLCV history; MUST filter ticker + time_frame), index_price, equity_extended_rt (pre/after/overnight quotes) - Fundamentals: financial_statements (GAAP income/balance/cashflow), company_snapshot (ratios, per-share, growth) - Earnings: earning_call_summary, earning_call_calendar - Analyst: analyst_ratings, analyst_ratings_consensus - Ownership: insider_and_institution_activities - 8-K events: executive_change, company_deal_events, debt_issuance, securities_offering - Executives: executive_profile, executive_compensation - Alt-data: macro / industry / trade / AI-supply-chain — call list_tables(categories=[...])

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• append_doc_section

  Dock

  Append a chunk of Markdown to the END of a workspace's doc body. Designed for crons + ingest agents that produce content in timestamped chunks (changelog updates, daily standups, batch summaries). Same markdown surface as update_doc: supports CommonMark, GFM, **`` inline images** (any publicly-reachable HTTPS URL), **lone video URLs** (`.mp4`/`.webm`/`.mov`/`.mkv`/`.m4v` → native `<video>` player, 5 GB per file), ```mermaid diagrams, $math$/$$math$$ KaTeX, > [!NOTE]/[!TIP]/[!IMPORTANT]/[!WARNING]/[!CAUTION] callouts, ```svg sanitized embeds, <details><summary>X</summary>...</details> toggles, [[slug]] cross-references, [@Label](dock:mention/<kind>/<id>) @-mentions of users + agents, and lone-URL embeds (YouTube/Vimeo/Loom/Figma/CodePen/gists). Server fetches the current body, splices the new blocks on, and writes the result through the same path as update_doc with the same auth, same events, same byte/depth/node-count guard. Append is non-idempotent by design (every call adds content); the caller is responsible for dedupe. @-mentions inside the appended chunk fire `doc.mention_added` + inbox/email fan-out for newly-added mentions only — appending a chunk that re-mentions someone already mentioned earlier in the doc won't re-fire. Requires editor role. Multi-surface workspaces optionally accept `surface_slug` to append to a specific doc tab.

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• ecommerce_copy

  Colour Memory

  Generate complete ecommerce product copy for any colour. Input: hex + product type + tone + channel. Output: colour name, product title, short description, long description, SEO title, meta description, alt text, Instagram caption, and cross-sell suggestion. Every piece of copy is grounded in archive provenance -- never generic AI colour copy. The colour name comes from the nearest archive match, not invented. Examples: velvet cushion in Murex Luxury, ceramic vase in Woad Vat Blue, linen throw in Standlake Silt. Directly useful for Shopify, WooCommerce, and editorial product pages.

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• ecommerce_copy

  Colour Memory

  Generate complete ecommerce product copy for any colour. Input: hex + product type + tone + channel. Output: colour name, product title, short description, long description, SEO title, meta description, alt text, Instagram caption, and cross-sell suggestion. Every piece of copy is grounded in archive provenance -- never generic AI colour copy. The colour name comes from the nearest archive match, not invented. Examples: velvet cushion in Murex Luxury, ceramic vase in Woad Vat Blue, linen throw in Standlake Silt. Directly useful for Shopify, WooCommerce, and editorial product pages.

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• get_latest

  xkcd

  Get the latest published XKCD comic with its title, image, and alt text.

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• list_tables

  Drillr — The financial MCP for AI agents

  List alternative-data tables under the given categories. Returns each table's name, one-line purpose, and column names (call get_table_schema if you need column types/comments). Batch up to 5 categories in one call. Use this BEFORE run_sql when you want to explore alt-data — run_sql alone won't tell you which tables exist. Available categories: - Energy & Power — US power plants, electricity prices, regional hourly generation/demand - Data Centers — facilities, GPU clusters, cooling - Semiconductors — AI chip specs, sales, ownership, foundry revenue, customs trade - Compute Pricing — GPU rental, cloud VM spot/on-demand, instance specs - Model Development — model specs, benchmarks, AI companies, AI polling, LLM arena - Inference Economics — LLM API pricing across providers - Macro & Trade — UN Comtrade, US Census trade flows, FRED macro series - Prediction Markets — Polymarket and Kalshi events, markets, trades, daily aggregates - Critical Minerals — USGS mineral deposits, country supply, critical materials

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• ingest_html

  Webcake Landing

  Parses an HTML string into a reference AST: title, description, og_image, language, and sections classified by role (header, hero, features, about, form, cta, gallery, testimonials, pricing, faq, footer, unknown) with headings, subheadings, paragraphs, images, ctas, links, form fields, and a size_hint (desktop section height in px — from the source CSS when explicit, else a content-volume estimate; set the rebuilt section's desktop height from it) — plus top colors, fonts, palette, and background_images. The palette is pulled from CSS custom-properties AND, for Tailwind-CDN pages (Google Stitch output), from the page's `tailwind.config` — which also yields `design_tokens` (the resolved spacing grid, corner radii, and type scale) so the rebuild matches the source's exact sizing and colors instead of guessing. Returns ~2-5KB (compact) or up to ~25KB (full). Use detail:'full' for clone-faithful rebuilds — it adds per-section blocks (cards/tiles/steps), li lists, gradients, images as { src, alt } objects, and widgets (the source HTML + CSS of composite mockups, to paste into ONE html-box). ABSOLUTE-CANVAS builder exports (LadiPage-family pages / Webcake-published HTML — bare positioned divs whose layout lives in per-id CSS rules) are AUTO-DETECTED and converted DETERMINISTICALLY into a ready-to-save Webcake `source` (folded into the response as `source` + `clone_notes` + `clone_notice`): a faithful 1:1 clone on the matching 420/960 canvas — save it straight to create_page instead of hand-rebuilding. The heavy per-element geometry is summarized to `canvas_summary` { builder, width, mobile_only, element_count, sections:[{id,height,elements}], popups }. External images in `source` are auto-hosted on save (no upload_images needed); `clone_notes` lists the few lossy approximations to patch_page afterward. Garbled Vietnamese mojibake (UTF-8 mis-read as Latin-1) is auto-repaired with a warning.

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• seo_cro_audit

  gapup-mcp

  Full SEO + CRO audit of any public URL. Analyses technical SEO (HTTP status, HTTPS, title/meta/canonical/robots, H1-H2, JSON-LD structured data, sitemap, robots.txt, OG/Twitter cards), content SEO (word count, keyword density top-10, readability estimate, image alt coverage, internal/external links), performance signals (page size, estimated render time, inline scripts/styles, unoptimised images), and CRO (CTA detection, above-fold CTAs, forms, social proof, trust signals, pricing visibility). Optionally compares up to 5 competitor URLs. Returns 0-100 scores per dimension plus a prioritised (P0/P1/P2) recommendation list. ICP: marketing managers, SEO/CRO consultants, e-commerce ops, agency teams. Budget: 8s per URL. Cache TTL: 1h.

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• full_seo_audit

  seo-audit

  Crawl-audit ANY URL across the WHOLE SEO surface (no login needed): the AI-search signals PLUS on-page SEO (title/meta/headings/content), technical SEO (HTTPS, robots.txt, XML sitemap, canonical, mobile), and — for Shopify stores — product/offer/review/breadcrumb schema and image-alt coverage. Returns a weighted 0–100 score + top issues. Takes a `url`. This audits an arbitrary website by crawling it — for the user's OWN connected store with real analytics, use get_my_store_audit.

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• ingest_url

  Webcake Landing

  Fetches a public webpage (GET, 10s timeout, 2MB cap) and parses it into the same reference AST as ingest_html (including per-section size_hint desktop heights). Returns a warning when the page appears client-rendered (empty <body>) so the caller can fall back to a screenshot — Claude can analyze a screenshot natively without this tool. Does not execute JavaScript; sites built with React/Vue/Next.js may return little content. Use detail:'full' for clone-faithful rebuilds — adds CSS palette, background_images, per-section blocks, lists, images as { src, alt } objects, and widgets (source HTML + CSS of composite mockups for html-box rebuilds). ABSOLUTE-CANVAS builder exports (LadiPage-family / Webcake-published pages) are auto-detected the same way as ingest_html and converted DETERMINISTICALLY into a ready-to-save `source` (+ `clone_notes` + `clone_notice`, with the per-element geometry summarized to `canvas_summary`) — save it straight to create_page; external images auto-host on save. Image URLs in the result are the user's assets — re-host them via upload_images and reuse them for BOTH intents; use search_images only for slots with no source image.

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• analyze_wcag

  mcp

  Analyze a website URL for WCAG 2.1 Level A accessibility issues. Automated static HTML analysis covering approximately 30-40% of WCAG 2.1 Level A criteria. Checks include: image alt text, form labels, heading hierarchy, page title, html lang, empty links/buttons, ARIA labels, duplicate IDs, skip navigation, table headers, landmarks, viewport zoom, autoplay media, and tabindex ordering. Manual testing is required for full WCAG compliance assessment. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: WCAG analysis with: - url: The analyzed URL - score: Accessibility score (0-100) - grade: Letter grade (A-F) - issues: Categorized issues (critical, warnings, info) - meta: Extracted accessibility metadata - recommendations: Prioritized improvements - coverage_note: Disclaimer about automated coverage - cached: Whether result was from cache

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• ecommerce_copy

  Colour Memory

  Generate complete ecommerce product copy for any colour. Input: hex + product type + tone + channel. Output: colour name, product title, short description, long description, SEO title, meta description, alt text, Instagram caption, and cross-sell suggestion. Every piece of copy is grounded in archive provenance -- never generic AI colour copy. The colour name comes from the nearest archive match, not invented. Examples: velvet cushion in Murex Luxury, ceramic vase in Woad Vat Blue, linen throw in Standlake Silt. Directly useful for Shopify, WooCommerce, and editorial product pages.

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• seo_cro_audit

  mcp-knowledge

  Full SEO + CRO audit of any public URL. Analyses technical SEO (HTTP status, HTTPS, title/meta/canonical/robots, H1-H2, JSON-LD structured data, sitemap, robots.txt, OG/Twitter cards), content SEO (word count, keyword density top-10, readability estimate, image alt coverage, internal/external links), performance signals (page size, estimated render time, inline scripts/styles, unoptimised images), and CRO (CTA detection, above-fold CTAs, forms, social proof, trust signals, pricing visibility). Optionally compares up to 5 competitor URLs. Returns 0-100 scores per dimension plus a prioritised (P0/P1/P2) recommendation list. ICP: marketing managers, SEO/CRO consultants, e-commerce ops, agency teams. Budget: 8s per URL. Cache TTL: 1h.

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• altcoin_season_index

  Agent Einstein — Autonomous Crypto Intelligence

  Altcoin Season Index: Real-time blockchaincenter-style Altcoin Season Index, computed in-house from CoinGecko top-50 minus stables and BTC/ETH derivatives. Returns: 90d index 0–100, 30d index, rotation acceleration delta, regime classification (BTC season / BTC-leaning / altseason-leaning / altseason / extreme), top 5 outperformers, worst 5 underperformers, BTC anchor return, plus the contrarian sizing rule the self-trade engine applies based on the regime (alt × 0.4–1.3, BTC × 0.7–1.0). Use to time alt rotation, time BTC accumulation, or as a contrarian de-risk gate at index ≥75.

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• get_event_odds

  Odds Api

  Odds for a single event — allows richer markets (player props, alt lines). Higher quota cost per call.

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• seo_cro_audit

  gapup-mcp

  Full SEO + CRO audit of any public URL. Analyses technical SEO (HTTP status, HTTPS, title/meta/canonical/robots, H1-H2, JSON-LD structured data, sitemap, robots.txt, OG/Twitter cards), content SEO (word count, keyword density top-10, readability estimate, image alt coverage, internal/external links), performance signals (page size, estimated render time, inline scripts/styles, unoptimised images), and CRO (CTA detection, above-fold CTAs, forms, social proof, trust signals, pricing visibility). Optionally compares up to 5 competitor URLs. Returns 0-100 scores per dimension plus a prioritised (P0/P1/P2) recommendation list. ICP: marketing managers, SEO/CRO consultants, e-commerce ops, agency teams. Budget: 8s per URL. Cache TTL: 1h.

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