Download and decrypt a LINE media message using chat and message IDs, returning image, audio, video, or file content. Non-media types return an honest error instead of fabricated data.
MIT
510,001 tools. Updated 2026-09-03 15:39
"A tool for reading and recognizing image content using MCP" matching MCP tools:
- Retrieve complete content of a single RSpace document using its ID for reading or analysis purposes.AGPL 3.0
- Capture a browser page screenshot and return image content, with configurable format, quality, and full-page capture for automation.MIT
- List all stored result handles and their metadata including tool, name, size, and timestamps. Use to retrieve content via URIs.Apache 2.0
- Fetch image attachments from a Jira issue as viewable image content, enabling vision-capable AI models to see and describe them directly, bypassing text extraction.MIT
- Retrieve complete Grokipedia articles with metadata, content previews, and citations for reading, overviews, and source verification.MIT
Matching MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.1
- AlicenseBqualityDmaintenanceA 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.211MIT
Matching MCP Connectors
MCP server for Qwen Image 3 AI image generation
Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.
- Fetch an image attachment from a Plane task and return it as MCP image content, letting vision-capable models view screenshots directly without URL downloads.MIT
- Retrieve metadata and statistics about Obsidian notes, including tags, dates, size, frontmatter properties, word count, and link information without reading the content.MIT
- Retrieve complete article content from Grokipedia for comprehensive research and reading. Use this tool to access full articles with title and raw markdown content for detailed information gathering.MIT
- Build a self-hosted MCP server package for an AIMarket capability. Assembles Docker image, MCP manifest, pricing tiers, and connection string.MIT
- Load a JPEG, PNG, or WebP from the workspace as native MCP image content for direct visual inspection in ChatGPT. For pixel-level detail, use image_info and crop/tile tools.MIT
- Retrieve detailed bug information by ID, including image URLs, from Zentao bug tracking systems. Use the extracted URLs to analyze image content with the rdms_download_image tool.
- Fetch detailed market bug information by ID, including image URLs, using this tool to streamline bug tracking and analysis. Utilize returned URLs for image content analysis with other tools.
- Analyze image content, answer visual questions, and extract information from screenshots or photos using a vision-language model. Pay per request with Bitcoin Lightning.MIT
- Detect human faces in a local image and return their positions as percentages of image dimensions. Works offline using Apple Vision.MIT
- Generate images from text prompts using 30+ AI models including DALL-E, GPT Image, and Stable Diffusion. No API keys needed.MIT
- Retrieve an image from visual memory using its short ID and return it as Base64 inline content for LLM analysis.Apache 2.0
- Upload files to Lexware by supplying an absolute file path or base64-encoded content. The tool derives the file name from the path and auto-detects MIME types for common image formats.Functional Source , Version 1.1, MIT Future
- Analyze stored image files to understand content, extract text, or answer questions using AI. Configure the tool to use specific AI models or rely on server defaults for tasks like object identification or OCR.MIT
- Analyze existing image files to understand content, extract text, or answer questions using AI vision models.MIT