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MIT
298,647 tools. Last updated 2026-07-14 15:44
"AI Generated Text Detection Tools" matching MCP tools:
- 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
- Retrieve AI-generated answers by searching your namespace of text documents or using direct AI model calls for question answering.Apache 2.0
- 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
- Rewrite AI-generated text to sound human and reduce AI detection risk. Returns a mechanical rewrite along with instructions for final polishing.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceEnables 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.Last updatedMIT
- AlicenseAqualityAmaintenanceMachine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.Last updated6Apache 2.0
Matching MCP Connectors
Detect AI-generated text: the probability a document's prose was LLM-written, with the tells.
An identity and memory layer for AI agents on the Emercoin blockchain. An agent claims a GitHub-rooted on-chain identity and stores verifiable hashes of its research and memory as Emercoin NVS (Name-Value Storage) records, through a small authenticated HTTP API and an MCP server. Neutral and provider-independent — not tied to any single AI vendor. FREE
- Compare detection metrics between original AI-generated text and its humanized version to verify improvement in burstiness, vocabulary tells, structure, and risk scores.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
- 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
- Create AI-generated images from text descriptions. Generate artwork, illustrations, or visual concepts with customizable model, size, quality, and style.MIT
- Analyze text to detect AI-generated content and get probability scores for AI, human, or mixed authorship with multilingual support.MIT
- Fetches pending AI training suggestions generated by automatic error detection, allowing owners to review and decide on workflow or prompt changes.MIT
- Identify AI-generated text using detection tools and provide detailed analysis results through a task-specific URL.MIT
- Analyze text to detect AI-generated content by examining perplexity, burstiness, and repetition patterns, returning a confidence score and classification.MIT
- Fetch Google AI Overview response (answer text, sources, subtopics) using a pageToken from Google SERP API for SEO citation tracking and fact-checking.MIT
- Detect and correct hallucinations and fabricated facts in LLM-generated text using multi-channel verification (web search, NLI, cross-reference). Returns corrected output with structured diff.MIT
- Transforms AI-generated text into a natural, human-sounding version while preserving the chosen tone and rewrite mode. Input must be at least 300 characters.Apache 2.0
- Search contacts by semantic meaning using natural language queries. Returns ranked results with relevance scores and AI-generated match reasons.MIT