Retrieve Google AI Mode responses for local search queries. Returns AI-generated text, reference links, and shopping items to assess AI visibility in search results.
MIT
524,333 tools. Updated 2026-09-06 15:00
"AI Generated Text Detection Tools" matching MCP tools:
- Show bookings analytics including total revenue, shipment count, and breakdown by source (MCP vs CLI) to track revenue generated through AI tools.MIT
- Retrieve AI-generated answers by searching your namespace of text documents or using direct AI model calls for question answering.Apache 2.0
- Rewrite AI-generated text to sound naturally human, varying sentence rhythm, structure, and word choice while preserving meaning.MIT
- Retrieve AI-generated insights including topics, sentiment, summary, and action items for any text note.MIT
- Analyze plain text to detect AI-generated content. Optionally enable deeper analysis or keep results private.MIT
Matching MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables multi-tier AI-detection screening on academic papers by extracting text from .tex and .docx files, splitting into standard sections, and running a pipeline of statistical and LLM-based analysis.MIT
- AlicenseNot gradedqualityCmaintenanceai-detect is a free AI text detector that runs entirely on your own hardware. It scores writing sentence by sentence using desklib/ai-text-detector-v1.01, a 304-million-parameter DeBERTa-v3-large model that ranks first on the RAID detection benchmark. No API key, no per-word pricing and no upload: after a one-off 1.7 GB model download it just works offline. by Houtini3MIT
Matching MCP Connectors
Exact character/word counting, reversal, palindrome checks, indexing, sorting; Unicode-safe.
Converts text titles into URL-safe slugs and flags duplicates. x402 payment required (testnet USDC).
- Adds metadata watermarks to AI-generated text to comply with EU AI Act Article 50(2), marking content as artificially generated.Apache 2.0
- Generate compliance-ready disclosure labels for AI-generated or manipulated audio, including written and spoken text and placement guidance per EU AI Act Article 50(4).Apache 2.0
- Generate a compliant disclosure label for AI-generated or manipulated images, returning required text, placement guidance, and exemption checks under Article 50(4) of the EU AI Act.Apache 2.0
- Rewrite AI-generated text into natural, human-authored prose. Adjust style and intensity to match your voice or bypass AI detectors.MIT
- Rewrite AI-generated text to sound human and reduce AI detection risk. Returns a mechanical rewrite along with instructions for final polishing.MIT
- Compare detection metrics between original AI-generated text and its humanized version to verify improvement in burstiness, vocabulary tells, structure, and risk scores.MIT
- Search Google AI Mode to get AI-generated summaries with citations, handling CAPTCHA detection and returning markdown results.MIT
- Analyze text for AI detection and plagiarism scores, then rewrite content to meet specified thresholds for humanized output.MIT
- Detect AI-generated content using Originality.ai to verify originality before publishing. Provides overall AI percentage and sentence-by-sentence breakdown with confidence scores.AGPL 3.0
- Add AI-generated content disclosure labels to news articles and public interest text, satisfying EU AI Act Article 50(4) compliance.Apache 2.0
- Generate deepfake labels for AI-generated or manipulated videos, providing the required disclosure text and placement guidance per EU AI Act Article 50(4).Apache 2.0
- Scans text for AI-generated patterns and computes a detection risk score with specific fix recommendations.MIT
- Analyze media content to identify AI-generated material across images, video, audio, and text formats using specialized detection models.MIT
- Retrieve a monologue's original text and AI-generated modern-English paraphrase line by line. Ideal for comparing Shakespeare's wording with a plain-language version.MIT
- Matches a use case description to relevant Hermes ecosystem tools using AI-generated summaries. Get personalized recommendations answering what to use for specific tasks.MIT