"Ford" matching MCP tools:

• get_account

  Prowlo — Reddit & X for AI agents

  Get your Prowlo account details: organization ID + name, your user ID, email, role, plan, account status, and integration state (connected Slack channels, webhook endpoints). Check `integrations` before setting an Alert destination — `destination.slack` only delivers if Slack is connected, and `destination.webhookIds` must reference the webhook ids listed here. Use this to identify your account when contacting support — quote the organizationId so we can find you quickly. (requires a free Prowlo account — call it to get a signup link)

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• humanize_comment

  Prowlo — Reddit & X for AI agents

  Rewrite YOUR drafted comment so it reads like a real person typed it, not an AI: strips AI tells, compresses to the 1-2 points that matter, varies rhythm, and lightly "dirties" it (lowercase sentence starts, no markdown). Best AFTER you draft a reply — write the real substance, then humanize it. INPUT RULES for best results: (1) put every fact/number/name you want kept IN the text — it never invents any; (2) keep it to ONE or TWO points — it cuts hard and drops the rest; (3) plain text only — markdown, bullet lists, and em-dashes are stripped; (4) shorter is better, ≤2000 chars; (5) one comment per call, do NOT include the post you are replying to. Pick `character` for the voice. Returns the rewrite, the AI "tells" found in your draft (so you can draft cleaner next time), and remaining daily quota. Output is intentionally imperfect + non-deterministic — do NOT "fix" it or retry for a cleaner version. Free · daily-capped · no Reddit credits. (usable right now without an account, daily-capped per IP)

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• stream_feed_ndjson

  Opedd — Licensed Content for AI

  Bulk-export a buyer's licensed catalog via GET /enterprise-license?format=ndjson (Phase 11 M3). Returns up to 1000 articles per call (collected from line-delimited JSON wire format). Same per-scope content contract as list_feed: METERED (filtered-scope) keys export metadata only (content_body null, content_access 'metered_per_call') — use get_content for article text. Each article emits one usage_records row (analytics-only sentinel 'bulk-export:<request_id>:<article_id>' — not metered-billable per the revenue-model bifurcation invariant). Use `since` (ISO 8601) for delta-feed. Use `cursor` to paginate beyond 1000. Backend supports 5000 articles per call; the MCP cap is 1000 for transport reasonability. Real bulk-ingest pipelines should use the Python SDK (pip install opedd) directly — not via MCP. Requires OPEDD_ACCESS_KEY (ent_*).

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• get_buyer_account

  Opedd — Licensed Content for AI

  Fetch the authenticated buyer's account profile + masked API key list via GET /buyer-account. Returns the enterprise_buyers row (contact_email, buyer_org, created_at, etc.) plus a list of all buyer-side API keys with masked prefixes (NEVER plaintext post-issuance — only the 12-char key_prefix is returned, e.g. 'opedd_buyer_'). Use cases: post-signup verification ('what was just issued to me?'), buyer dashboard mental model ('what licenses do I currently hold?'), audit prep ('show me the key list before rotation'). For full mid-lifecycle license details (filter_rules, billing, payouts), buyers consult the buyer portal at opedd.com/buyer. Requires OPEDD_BUYER_JWT.

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• robyn_netting_statement

  Robyn — Gasless Cross-Chain for AI Agents

  Internal transfers produce NO transaction hash because no transaction occurs — this append-only journal is their only record. Never truncated; page with `before` (a seq number). Use this when a user asks to verify or dispute an internal payment, since there is no chain to check.

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• list_records

  Prowlo — Reddit & X for AI agents

  List records in your Dataset (Prowlo’s indexed posts from crawled sources). NOT a live Reddit call — free, rate-limited only. Filter by view (all/matched), subreddits, platforms, tags, keyword, `any` (brand-variant OR-group), include/exclude, intent, score/comments, date range, watcherId. Paginated via cursor. Note: tags / watcherId are record-level, so passing either uses the "matched" view automatically. Records whose keyword match was AI-judged coincidental are hidden by default (pass includeSuppressed:true to see them; each record carries a `verification` field). A filtered page can hold fewer than `limit` items — page until nextCursor is null. Long record bodies are trimmed to keep the page scannable — use get_record for a record’s full body. (requires a free Prowlo account — call it to get a signup link)

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• verify_claim

  срезAI — Search API for AI agents

  Проверяет утверждение: ищет источники, читает несколько независимых страниц и возвращает вердикт с дословными цитатами. Каждая цитата сверена с текстом страницы — не найденная в тексте отбрасывается вместе со своим доводом. Когда: факт, который нельзя брать на веру — цифра, дата, «X поддерживает Y», утверждение из ответа пользователя или из вашей же памяти. Особенно если ваш контекст не вмещает 4–5 страниц целиком: вся черновая работа делается на нашей стороне, к вам приходят только вердикт и цитаты. Когда не: нужен обзор темы — deep_research; нужен текст конкретной страницы — read_url. Вердикт: supported — источники подтверждают; refuted — опровергают; mixed — расходятся между собой; unverified — подтверждения не нашлось. Последние два — нормальный результат, а не ошибка: значит, утверждение нельзя считать проверенным. Считает в независимых доменах: три цитаты с одного сайта — один голос. Смотрите agreeing/disagreeing и confidence, а не только вердикт. Возвращает: вердикт, уверенность, цитаты со ссылками и оговорки. Источников — 2–5. Время: 15–60 с / 15–60 s. Цена: 8 кредитов (поиск, чтение источников и работа модели). Verifies a statement: searches for sources, reads several independent pages and returns a verdict with verbatim quotes. Every quote is checked against the page text — one that is not found there is dropped along with its argument. Use when: a fact you should not take on trust — a number, a date, "X supports Y", a claim from the user or from your own memory. Especially when your context cannot hold 4–5 pages at once: the legwork happens on our side, you receive only the verdict and the quotes. Do not use when: you need an overview of a topic — deep_research; you need the text of one specific page — read_url. Verdict: supported — the sources confirm it; refuted — they contradict it; mixed — they disagree with each other; unverified — no confirmation was found. The last two are normal outcomes, not errors: they mean the claim cannot be treated as verified. Counted in independent domains: three quotes from one site are one voice. Read agreeing/disagreeing and confidence, not just the verdict. Returns: verdict, confidence, quotes with links and caveats. Sources: 2–5. Time: 15–60 с / 15–60 s. Cost: 8 credits (search, source reading and model work).

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• purchase_enterprise_license

  Opedd — Licensed Content for AI

  Purchase a bulk enterprise license covering multiple publishers (Phase 10). Returns a Stripe client_secret for payment completion + the enterprise_license_id. After payment, an ent_* access key is emailed to buyer_email. Scopes: 'custom' (pass-through publisher_ids), 'platform_wide' (auto-resolve all opted-in publishers), 'filtered' (Phase 10 filter_rules). License tiers: 'rag' (= ai_retrieval), 'training' (= ai_training, flat-fee not metered), 'inference' (= ai_retrieval), 'full_ai' (writes both retrieval + training records). The buyer must accept the Opedd Master Services Agreement (opedd.com/terms) before purchase — set terms_accepted=true to record it.

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• list_feed

  Opedd — Licensed Content for AI

  List articles from a buyer's licensed catalog via GET /enterprise-license (Phase 10 + 11). Content contract: flat-fee scopes (custom/platform_wide) include full content_body; METERED (filtered-scope) keys get a discovery-only feed — content_body is null and content_access is 'metered_per_call'; fetch article text via get_content (each retrieval is billed). Returns JSON-format response with paginated articles. Use `since` (ISO 8601) for delta-feed polling — only articles published after the timestamp. Use `cursor` for pagination across pages. Requires OPEDD_ACCESS_KEY (ent_* enterprise access key). For larger bulk corpus pulls, use stream_feed_ndjson (up to 1000 articles per call vs 200 here).

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• article_53_attestation

  Opedd — Licensed Content for AI

  Issue a signed JWT attesting to EU AI Act Article 53 compliance for a specific license via GET /eu-ai-act/article-53-attestation (Phase 12 Wave 1 W1.4). Returns a freshly-signed HS256 JWT regulators can verify offline against the canonical signing key. Embeds: license context, usage-count over the attestation window, the most-recent Tempo Merkle root, and canonical claims (iss/sub/iat/exp/jti/aud). **The artifact AI labs hand to legal/procurement for EU AI Act Article 53(1)(d) transparency-obligation evidence.** Per INVARIANTS.md W1.6: this attests to EU AI Act Article 53 ONLY (buyer-side GPAI-model-provider transparency obligation). It does NOT discharge a publisher's CDSM Article 4(3) reservation obligation — that lives on the rsl_get tool (jsonld=true variant). Never conflate. Optional `content_id` scopes the attestation to one article; default is license-wide. Window cap: 365 days. Requires OPEDD_BUYER_JWT.

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• get_compliance_dossier

  Opedd — Licensed Content for AI

  Generate a procurement-defense compliance dossier via GET /buyer-compliance-report (Phase 11 M4). Per-row dossier shape: 25+ fields including 17 RAG-essential article fields + full license_terms + on_chain_attestation block. Bulk envelopes fan out into per-article rows by iterating metadata.article_ids[]. Self-audit invariant: every successful call writes one license_events row with event_type='compliance_report_generated' BEFORE returning. Window cap: 90 days per call (vs 30-day cap on get_audit_events). For annual audits, paginate via _meta.next_cursor across 4 quarterly windows. Compliance framework anchors (boolean flags) map to EU AI Act Article 53, CDSM Article 4(3), on-chain attestation, TDM reservation. Requires OPEDD_BUYER_JWT.

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• read_url

  срезAI — Search API for AI agents

  Открывает одну страницу по известному адресу и возвращает её текст чистым markdown — без навигации, рекламы, скриптов и HTML. JavaScript выполняется на нашей стороне, поэтому SPA тоже читаются. Когда: адрес известен и нужен текст — статья, документация, карточка товара. Когда не: адреса нет — сначала web_search; страниц несколько — read_urls (один вызов вместо пяти); нужны 2–5 конкретных полей — extract (в контекст придут только они); нужно увидеть вёрстку — fetch_page. Возвращает: заголовок и текст, по умолчанию первые 4000 символов. Длинная страница приходит по частям: в конце ответа указано значение offset, с которым надо вызвать тул повторно, чтобы получить продолжение. Так документ любого объёма читается окнами под ваш контекст, без повторной оплаты уже прочитанного. Цена: 1 кредит, самый дешёвый способ получить содержимое страницы (fetch_page — 3). Opens a single page by a known URL and returns its text as clean markdown — no navigation, ads, scripts or HTML. JavaScript is executed on our side, so SPAs read fine too. Use when: you have the URL and need the text — an article, documentation, a product page. Do not use when: you have no URL — start with web_search; you have several pages — read_urls (one call instead of five); you need a handful of specific fields — extract (only those reach your context); you need to see the layout — fetch_page. Returns: title and text, the first 4000 characters by default. A long page arrives in windows: the end of the response states the offset to call the tool with again to get the continuation. That way a document of any size is read in windows sized to your context, without paying twice for what you already read. Cost: 1 credit — the cheapest way to get page content (fetch_page costs 3).

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• submit_human_task

  Human For AI

  Submit a task for the human operator to perform in the real world. Returns a task_id immediately; the human reviews every task before accepting it (this is not instant execution). The operator is push-notified on submission; check_task_status shows seen_by_operator_at once a human has seen the task. Free during the pilot. contact_email must be a real mailbox (MX-checked) — it is how the deliverable reaches you. No mailbox? Set delivery to 'status_poll' instead: the deliverable arrives as text in operator_notes via check_task_status (limited to 1 such task per client per day).

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• strale_ping

  Strale - 290+ API capabilities for AI agents

  Checks that the Strale API is reachable and the MCP server is running. Call this before a series of capability executions to verify connectivity, or when troubleshooting connection issues. Returns server status, version, tool count, capability count, solution count, and a timestamp. No API key required.

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• rendex_screenshot

  Rendex: Rendering API for Images, PDFs & Content Extraction

  Use this when the user asks to screenshot, capture, or take a picture of a webpage/URL, or to render raw HTML or Markdown to an image or PDF. Do NOT use to get a reusable hosted image URL (use rendex_render_link) or to make a branded multi-format document (use render_artifact). Captures a screenshot or PDF of any webpage, raw HTML, or Markdown. Supports full-page capture, dark mode, ad blocking, custom viewports, CSS/JS injection, cookie/header injection, PDF output, HTML and Markdown rendering, and progressive fallback for heavy sites. Returns partial renders on timeout by default (bestAttempt mode). Costs 1 render credit per call. Cookie/header injection requires Starter+; geo-targeting requires Pro+.

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• rendex_extract

  Rendex: Rendering API for Images, PDFs & Content Extraction

  Use this when the user asks to read, extract, get the text/content/article of, or summarize a webpage/URL. Do NOT use for a visual screenshot (use rendex_screenshot). Extracts clean reader-mode content from any webpage as Markdown, JSON, or HTML. Runs the same Chromium render pass as a screenshot, so it captures content after JavaScript runs — handles SPAs that fetch-only readers miss. Strips nav, ads, and boilerplate, returning the article body plus title, byline, and excerpt. Great for feeding page content to an LLM, summarization, or RAG ingestion. Costs 1 render credit per call.

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• rendex_account

  Rendex: Rendering API for Images, PDFs & Content Extraction

  Check the Rendex account: which plan it's on, how many render credits have been used vs. the monthly limit (and when it resets), the per-minute rate limit, and a one-tap link to upgrade to a higher tier. Use this whenever the user asks about their usage, remaining quota, current plan, or how to get more renders / stop hitting limits. Read-only — costs no credits.

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• verify_number_start

  Word Is Bond

  Prove your account controls a phone number, which it must do before any PSTN test call to it. Word Is Bond places one short call to the number, speaks a 6-digit code twice, and hangs up. Confirm the code within ten minutes with verify_number_confirm. Calling an already-verified number places no call. This is the only action that dials an unverified number and it is tightly capped (3 calls per number and 5 distinct numbers per account, per day).

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• goal-request-ac-change

  Planner — provable "done" for AI agents

  Request a change to an acceptance criterion. grounds=unreachable (default): the AC cannot be proven — requires ≥3 failed evidence attempts (weak/mismatch) with 0 matches. grounds=wrong_criterion: the AC measures the wrong thing (owner never approved this wording, or a revealed fact shows it tracks something else) — no failed attempts required, but you MUST pass quotedFragment: a verbatim slice of the criterion text you claim is wrong (checked against the stored text), and the reason must name the unapproved wording or the finding; difficulty alone is rejected. An LLM judge screens the reason either way. On pass, creates an escalation for the goal owner to resolve (edit AC text, split to sub-goal, drop AC without creating a child, or reject). Grove mode only, goal must be in_progress.

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• robyn_netting_info

  Robyn — Gasless Cross-Chain for AI Agents

  Explains the opt-in netting ledger: transfers between two ENROLLED accounts settle as a book entry — no chain, no gas, no fee, instant, at ANY size including amounts below every per-chain cost floor. CUSTODIAL — this is the ONE part of Robyn that holds your balance; every other tool here moves funds without Robyn ever holding them. Tell the user that plainly before they enrol. Read-only. Returns the caps, the published limits and the fee model.

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