Generates detailed textual descriptions of one or more images for text-only models, enabling scene/UI understanding, OCR, comparison, and structured extraction from multi-image uploads.
MIT
523,718 tools. Updated 2026-09-06 13:58
"Understanding and Using JSON" matching MCP tools:
- Extract text from local image files using OCR. Converts image-based content into structured JSON and a text summary for downstream processing.MIT
- Send messages to Zhipu GLM models through AceDataCloud to generate chat completions for conversational AI, Chinese language understanding, and reasoning tasks.MIT
- Convert PDFs and scanned images into JSON representation, preserving text, fonts, images, vectors, and formatting.MIT
- List all files and directories in a specified path, with [FILE] and [DIR] prefixes to distinguish items, enabling quick understanding of directory structure.-
- Validates JSON data against a JSON Schema using Ajv, reporting all constraint failures with keyword, path, and message. Detects schema version from $schema URI.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceIntegrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.3MIT
- AlicenseAqualityCmaintenanceA minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.51MIT
Matching MCP Connectors
Convert JSON samples into TypeScript interfaces and Zod schemas, with inference caveats.
Validates JSON against a JSON Schema, lists violations. x402 payment required (testnet USDC).
- Retrieve README files from GitHub repositories to access project overviews, installation guides, and usage examples for understanding codebases.MIT
- Analyze images using Gemini's multimodal understanding. Provide one or more images and a prompt to receive a text-based analysis of their content.Apache 2.0
- Retrieve recent file system changes from watched directories to track file creations, modifications, deletions, and moves for understanding recent work.MIT
- Retrieve random document samples from MongoDB collections for data exploration, testing, and analysis in JSON or CSV formats.MIT
- Analyze code files to identify top-level symbols and their structure, providing a quick overview for understanding new codebases or files.MIT
- Filter JSON data from files or URLs using shape objects to extract specific fields and nested structures, reducing data volume for focused analysis.MIT
- Analyze JSON data size by field using a shape object to identify storage usage patterns and optimize data structure efficiency.MIT
- Process JSON by parsing, validating, querying specific fields using dot-notation, or summarizing structure.MIT
- List Oracle Cloud Infrastructure AI/ML services including Generative AI, Vision, Speech, Language, and Document Understanding. Filter by service type or model.Apache 2.0
- Analyze data patterns and relationships around specific coordinates for validation, error investigation, and contextual understanding in CSV datasets.Apache 2.0
- List all privileges granted on tables, views, sequences, and functions in a PostgreSQL schema. Useful for security audits and understanding who has access to what.MIT
- Search datasets using semantic understanding with synonym expansion and Serbian-English translation. Suggests related datasets when no exact match is found.MIT
- Search the web and X (Twitter) using natural language. Get answers with citations, optional image understanding, and domain or date filters.MIT
- Analyze any audio file by providing a URL or local path, then receive detailed descriptions, answers to questions, and key insights using native audio understanding.MIT
- Analyze video content by combining visual and audio understanding. Provide a public URL or local file path to answer questions about what happens and what is heard.MIT