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524,547 tools. Updated 2026-09-06 16:29

"Audi" matching MCP tools:

  • Fetch one Audible category node with its immediate children by category ID. Avoid loading the entire category tree when only a single node is needed.
    MIT
  • Fetch a curated Audible editorial list and extract its themed shelves with ordered ASINs. Provide the list slug to get hand-picked popular lists for product detail enrichment.
    MIT
  • Fetch Audible chart pages from audible.com/charts, returning ranked lists with position, price, and rating. Supports filters for category, language, duration, membership access, and Originals-only to target specific charts.
    MIT
  • Retrieve up to 50 Audible audiobook details in one request using comma-separated ASINs. Returns normalized product data from public catalog, omitting unrecognized ASINs.
    MIT
  • Get an Audible series' ordered book list by passing its series ASIN. Returns every book in the series in sequence.
    MIT

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  • **Can AI actually read your page?** ChatGPT, Perplexity, Claude and Google's AI Overviews fetch pages very differently from your browser — no JavaScript, tight timeouts, and a robots.txt rulebook of their own. Lekta fetches a URL exactly the way they do and grades what survives, **A+ to F**. This is the technical half of **AEO** (answer engine optimization) and **GEO** (generative engine optimization): before a model can cite you, it has to be able to fetch you, parse you, and find one sentence worth quoting. **The loop this server was built for:** `Audit https://mysite.com/pricing with Lekta, apply the fixes it lists, audit it again, and show me the difference.` Your agent gets a graded verdict, a ranked fix plan with the exact markup to paste, and a diff that proves the change landed. Repeat until A+. **Four layers, 100 points:** **Access** 25 — do the ~17 AI crawler tokens get past robots.txt? **Indexability** 25 — how much content survives without JavaScript? **Answerability** 30 — is there a single quotable sentence an engine can lift? **Recency** 20 — can a model tell when this page was last true? **What this is not:** a rank tracker. Lekta will not tell you how often ChatGPT mentions your brand. It tells you whether your page can be read and quoted when it does — the part you can actually fix. **No black box.** Every finding cites its basis — an RFC, a vendor doc, or a dated measurement we ran. The engine is versioned with a public changelog: a score never moves without a published shift table. **Tools:** `lekta_audit` (fresh fetch) · `lekta_report` (cached read) · `lekta_fix_plan` (ranked, paste-ready) · `lekta_diff` (before/after) · `lekta_my_sites` Listing tools is open. Tool calls need a free key from lekta.dev/en/panel/api — send `Authorization: Bearer lekta_…` or `x-api-key`. Cached reads, fix plans and diffs cost nothing; only fresh fetches count against the daily limit. **Topics:** AEO · GEO · AI SEO · LLM SEO · answer engine optimization · generative engine optimization · AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) · JavaScript-free indexability · structured data · content freshness

  • Scores a business's online presence 0–100 and names the top issues to fix — search visibility, whether AI assistants can read and recommend it, speed and first impression, trust, and how easy the business is to reach. Give the scan_website tool a URL and it returns the score with the top issues, in chat. English and Arabic. By BottleTech (bottletech.net).

  • Find Audible audiobooks related to a given ASIN by series, narrator, author, or next in series. Retrieve up to 50 related titles with no credentials required.
    MIT
  • Retrieve Audible audiobook customer reviews by ASIN to access author, title, body, overall/performance/story ratings, helpful votes, and submission dates from public data.
    MIT
  • Retrieve Audible audiobook details by ASIN: authors, narrators, series, ratings, runtime, price, sample audio. Returns normalized public catalog data without credentials.
    MIT
  • Search Audible's audiobook catalog by keyword, title, author, narrator, or category ID. Requires at least one filter to retrieve credential-free public catalog data.
    MIT
  • Create, list, update, and manage first-party audience segments in Google Ad Manager. Build CRM lists and pixel-based audiences for targeted advertising.
    MIT
  • Automatically lower background music during speech and restore it in pauses. Accepts audio or video as voice input and returns a mixed output.
    MIT
  • Query the GAM audit log to trace changes to orders, line items, creatives, or ad units, showing who changed what and when.
    MIT
  • Analyzes a short audio sample in TouchDesigner to compute a fingerprint and automatically selects and configures a matching visual generator.
    MIT
  • Retrieve audit trail of memory operations with optional filters by operation type and limit for monitoring changes.
    MIT
  • Merge audio tracks in selected order. When file formats match, joins without re-encoding, preserving quality and saving time. Accepts audio files up to 200 MB each.
    MIT
  • Get AI-recommended audience signals for Google Ads campaigns. Based on keywords and industry, it suggests in-market segments, affinity audiences, demographics, and bid modifiers.
    MIT
  • Convert audio to MP3, AAC, OPUS, FLAC, WAV, or OGG with options for bitrate, mono, and sample rate. Handles files up to 200 MB.
    MIT
  • Retrieve audit trail of memory operations with optional filtering by operation type (CREATE, UPDATE, DELETE, ROLLBACK) and limit on number of entries.
    MIT