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
114,411 tools. Last updated 2026-04-21 11:08
- Check Vorim AI API health and connectivity to verify service status, version, and operational availability.MIT
- Retrieve available AI models like ChatGPT and Perplexity with their IDs and active status for tracking brand mentions in AI-generated content.MIT
- Browse available AI image generation models to compare pricing and capabilities. Filter by active status to identify suitable options for your creative workflow.MIT
- Update Network AI configuration values at runtime to modify swarm behavior. Changes apply immediately for all subsequent operations.MIT
- Analyze website visibility to AI agents by checking robots.txt, structured data, meta tags, and cross-border readiness to improve AI discoverability.MIT
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Matching MCP Connectors
Access the GitHub API, enabling file operations, repository management, search functionality, and…
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
- Remove invalid corrections from WhatsApp AI to maintain accurate customer interactions. This tool deletes outdated AI corrections by ID.MIT
- Generate a checklist to verify research paper submissions comply with AI-Archive guidelines before submission.MIT
- Retrieve SERP AI Overview and AI Mode responses for a query in under 30 seconds. Use this tool to analyze search results, SEO data, and keyword insights efficiently.MIT
- Retrieve AI platform probe results grouped by prompt to analyze what each AI says about a brand for visibility monitoring.MIT
- Analyze text to detect AI-generated content and get probability scores for AI, human, or mixed authorship with multilingual support.MIT
- Fetch and analyze a website's robots.txt file to determine which AI bots are blocked or allowed, helping website owners control AI crawler access.MIT
- Initiate outbound AI phone calls using registered numbers and configured agents for automated voice interactions.
- Analyze real-time X conversations about any topic using Grok AI to extract insights with cited sources from current social media data.
- Clear all AI review verdicts for a task to prepare for a new review cycle. Call before starting fresh evaluations.MIT
- Monitor AI collaboration memory to view work logs, research results, and checkpoint statistics for tracking project history and resuming workflows.MIT
- Understand AI-Archive's mission and guidelines to contribute effectively as an AI agent, covering submission, review, collaboration, and platform values.MIT
- Display system notifications when AI finishes generating responses in MCP-compatible code editors, supporting macOS, Windows, and Linux with customizable titles, messages, and sound options.
- Interact with various AI models from OpenAI, Anthropic, Google, and AWS Bedrock using a unified interface to generate responses for chat inputs.MIT
- Identify missing terms in the AI Dictionary by discovering AI-recommended gaps where experiences lack names.MIT
- Analyze text content for AI search optimization by detecting AI slop, assessing writing quality, evaluating E-E-A-T signals, checking data points, verifying originality, and measuring actionability to improve AI citation rates.MIT
- Discover supported AI platforms and understand how each sources and displays brand information for visibility tracking.MIT
- Discover available AI models and their configuration status to select the right provider for your task through the Ultra MCP server interface.MIT
- Discover available AI models with descriptions and recommended use cases to select the right model for your specific task requirements.
- Check if a file name follows AI naming conventions for microservices, including components like service, layer, domain, and action identifiers.MIT
- Retrieve all available AI models from multiple providers through a unified interface to enable model selection and switching.MIT
- Calculate AI visibility scores for brands across ChatGPT, Perplexity, Claude, and Gemini to track performance and identify improvement opportunities.MIT
- Discover trending AI models from Hugging Face to identify popular tools for tasks like text-generation or image-classification.MIT
- Create AI agents for the AI-Archive platform to discover research papers, manage submissions, conduct peer reviews, and generate citations through semantic search.MIT
- Retrieve featured AI research papers from Hugging Face to stay updated on daily developments. Specify days to look back for comprehensive tracking.MIT
- Send chat completion requests to AI models through a unified gateway interface. Configure parameters like model selection, message history, and response controls to generate AI-powered text outputs.
- Retrieve full documentation content for SAP AI Core by specifying a document path. Access detailed technical information from the SAP AI repository to support development and implementation tasks.
- Generate AI-powered daily digests from X using Grok with real-time search. Focus on specific topics like AI, crypto, or tech startups to stay informed.
- Control AI-powered Cinematic mode editing for iPhone videos. Navigate between AI focus and framing decisions to adjust cinematic effects.
- Retrieve available changelog files from the Pydantic-AI documentation repository to track version history and updates.
- Extract structured data from invoices using AI to automate data entry and processing tasks.MIT
- Retrieve AI role definitions and permissions from the AI_ROLE_MATRIX.yaml file to understand access levels and capabilities for specific AI systems.MIT
- Generate AI_ROLE_MATRIX.yaml to define roles and responsibilities for multi-AI tool collaboration in projects.MIT
- Create custom images from text descriptions using AI models, with options to adjust dimensions, format, and output location for integration into projects.MIT
- Generate tasks in AI Note by specifying content, due date, importance, and category. Enables task management through natural language integration with Claude Desktop.MIT
- Create custom functions for AI models to execute in JavaScript, Python, or Shell environments with sandboxed security and approval workflows.MIT
- Create AI-generated images from text prompts using specified models and parameters for visual content production.MIT
- Analyze content quality using multiple AI perspectives to identify improvements in accuracy, style, completeness, and bias through structured reviews.MIT
- Analyze robots.txt content to determine which AI bots are blocked or allowed based on the rules.MIT
- Analyze and compare multiple items across dimensions like quality, accuracy, and style using AI, with configurable criteria and output formats.MIT
- Create a weekly summary of AI research activity by aggregating papers, GitHub repositories, and Hugging Face models to track progress across multiple sources.MIT
- Query Google Gemini AI models through the MCP AI Bridge to generate responses for prompts with configurable parameters.MIT
- Extract structured data from web pages by defining a schema and providing a URL, using AI to process and organize information from online sources.MIT
- Find AI developer tools by category, popularity, or keyword to identify suitable options for your projects.MIT
- Retrieve trending AI/ML repositories from GitHub to track emerging projects and research developments, with options to filter by time period, programming language, and result count.MIT
- Retrieve available data collections from Omics AI Explorer networks for genomics research analysis and discovery.MIT