{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_yrprz5fgczbh","handle":"mcp-image-recognition","url":"https://wellknown.network/agents/mcp-image-recognition","links":{"self":"https://wellknown.network/agents/mcp-image-recognition/record.json","html":"https://wellknown.network/agents/mcp-image-recognition","markdown":"https://wellknown.network/agents/mcp-image-recognition/record.md","api":"https://wellknown.network/api/v1/agents/mcp-image-recognition","status":"https://wellknown.network/api/v1/agents/mcp-image-recognition/status","claim":"https://wellknown.network/agents/mcp-image-recognition/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-image-recognition/claim.json","badge":"https://wellknown.network/agents/mcp-image-recognition/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-image-recognition/history","tools":"https://wellknown.network/api/v1/agents/mcp-image-recognition/tools"},"ard":{"identifier":"urn:air::server:mcp-image-recognition","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-image-recognition","summary":"MCP server for image recognition using vision APIs (Anthropic, OpenAI, Cloudflare Workers AI)","description":"# MCP Image Recognition Server\n\nAn MCP server that provides image recognition capabilities using Anthropic, OpenAI, and Cloudflare Workers AI vision APIs. Version 1.2.1.\n\n![MCP Image Recognition](assets/mcp-image-recognition-banner.png)\n\n## Authors\nOriginally this project was created by [`@mario-andreschak`](https://github.com/mario-andreschak/).<sup>Thank you!</sup>  \nIt is currently maintained by [`@zudsniper`](https://github.com/zudsniper).  \n\n## Features\n\n- Image description using Anthropic Claude Vision, OpenAI GPT-4 Vision, or Cloudflare Workers AI llava-1.5-7b-hf\n- Easy integration with Claude Desktop, Cursor, and other MCP-compatible clients\n- Support for Docker deployment\n- Support for uvx installation\n- Support for multiple image formats (JPEG, PNG, GIF, WebP)\n- Configurable primary and fallback providers\n- Base64 and file-based image input support\n- Optional text extraction using Tesseract OCR\n\n## Requirements\n\n- Python 3.8 or higher\n- Tesseract OCR (optional) - Required for text extraction feature\n  - Windows: Download and install from [UB-Mannheim/tesseract](https://github.com/UB-Mannheim/tesseract/wiki)\n  - Linux: `sudo apt-get install tesseract-ocr`\n  - macOS: `brew install tesseract`\n\n## Installation\n\n### Option 1: Using uvx (Recommended for Claude Desktop and Cursor)\n\n1. Install [uv](https://github.com/astral-sh/uv) package manager:\n```bash\npip install uv\n```\n\n2. Install the package with uvx:\n```bash\nuvx install mcp-image-recognition\n```\n\n3. Create and configure your environment file as described in the Configuration section\n\n### Option 2: Using Docker\n\n```bash\ndocker pull zudsniper/mcp-image-recognition:latest\n\n# Create a .env file first, then run:\ndocker run -it --env-file .env zudsniper/mcp-image-recognition\n```\n\n### Option 3: From Source\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/zudsniper/mcp-image-recognition.git\ncd mcp-image-recognition\n```\n\n2. Create and configure your environment file:\n```bash\ncp .env.example .env\n# Edi…","publisher":{"name":"Mario & Contributors","url":null},"homepage":null,"repository":null,"version":"1.2.2","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:mcp-image-recognition","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"media.image-understanding","name":"Image Understanding","confidence":1,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"infra.cloud","name":"Cloud Platforms","confidence":0.825,"provenance":"derived"},{"slug":"dev.ci-cd","name":"CI/CD & Deploy","confidence":0.779,"provenance":"derived"}],"categories":["dev","infra","media"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"mcp-image-recognition","registry":"pypi","observedAt":"2026-10-22T09:23:42.115Z","publishedAt":"2025-03-29T04:56:55.746028Z","latestVersion":"1.2.2"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"mcp-image-recognition","url":"https://pypi.org/project/mcp-image-recognition/","firstSeenAt":"2026-09-10T02:22:51.048Z","fetchedAt":"2026-10-22T09:22:22.289Z","normalizedAt":"2026-10-22T09:22:22.289Z"}]},"firstSeenAt":"2026-09-10T02:22:51.048Z","updatedAt":"2026-10-22T09:23:42.115Z"}