ocular
Related Servers
Alternatives to ocular
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceProvides vision understanding capabilities such as image analysis, OCR, object localization, and video frame analysis, plus optional image generation and editing, to coding agents via OpenAI-compatible multimodal models. Runs as a local MCP server with HTTP and stdio transports, configurable for clients like Codex, Claude Code, Kimi, and Cursor.314 npmMIT
- AlicenseNot gradedqualityBmaintenanceMCP server that gives Claude and other clients vision capabilities including screenshot-to-code, OCR, error diagnosis, diagram analysis, data-viz insights, UI diff checks, and video analysis via any OpenAI-compatible vision endpoint.7,547 npmApache 2.0
- AlicenseAqualityDmaintenanceMCP server for vision AI — screenshots to code, OCR, error diagnosis, and image analysis via OpenAI-compatible APIs.82MIT
- AlicenseNot gradedqualityAmaintenanceLocal vision-capable MCP server that lets AI agents describe screenshots, UI, charts, and photos via vision and OCR tools, with support for multiple providers and automatic fallback.6MIT
- AlicenseNot gradedqualityDmaintenanceA lightweight stdio MCP server that adds image understanding to AI coding assistants via a single tool that sends images to any OpenAI-compatible multimodal endpoint.MIT
- AlicenseAqualityBmaintenanceMCP server that adds vision capabilities to text-only AI models by sending images (local files, URLs, clipboard, screenshots) to a vision model and returning text descriptions.1208 npmMIT
TDQS
Scored across 8 tools
Most tools have clear, distinct purposes (OCR, UI analysis, chart analysis, etc.), but analyze_image serves as a general fallback and could overlap with specialized tools like analyze_ui_screenshot or analyze_chart_image if an agent picks poorly. The descriptions are specific enough to guide selection in most cases.
All tool names follow a consistent verb_noun pattern using snake_case: analyze_image, extract_text_from_image, compare_ui_screenshots, etc. This consistency makes it easy to predict what a tool does based on its name.
With 8 tools, the set is well-scoped for an image analysis server. Each tool serves a distinct purpose, and the count is neither too sparse nor overwhelming.
The tool set covers a broad range of image analysis needs for coding agents: general analysis, OCR, UI analysis, error screenshots, table extraction, chart analysis, and image comparison. The inclusion of an upload session tool addresses local file handling, filling the only potential gap.