A
licenseA
qualityA
maintenanceAn MCP server that adds vision capability to any LLM by forwarding images to OpenRouter vision models, returning text analysis. Supports image analysis, model listing, and config diagnostics.
3
2 npm
MIT
opencode-vision-mcp
by avdivo
Related Servers
Alternatives to opencode-vision-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceOpenAI-compatible vision recognition MCP server that lets MCP clients see images by routing them to any OpenAI-compatible vision model.1MIT
- AlicenseAqualityCmaintenanceMCP server that provides the describe_image tool, enabling AI clients to analyze local images by forwarding them to any OpenAI-compatible vision endpoint and returning a text description.11MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.14 npm2MIT
- AlicenseAqualityBmaintenanceMCP server for image recognition, supporting multiple vision backends (Anthropic, Zhipu, Ollama) to describe, answer questions, and analyze images.317 npm1MIT
- AlicenseAqualityDmaintenanceMCP server for generating images using OpenRouter API, supporting models like Gemini 2.5 Flash. Enables image generation with flexible options like saving to local files.2Do What The F*ck You Want To Public
TDQS
A3.7/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no ambiguity between tools. The purpose is clear and distinct.
Naming Consistency5/5
A single tool name follows a clear verb_noun pattern (read_image) and there is no inconsistency.
Tool Count3/5
The server has a single tool, which feels thin for a vision-oriented server. While it can handle multiple tasks within one tool, the scope suggests more tools would be expected for a complete set.
Completeness3/5
The single tool covers text, object, and scene recognition with optional questions, but lacks other common operations like listing images, generating descriptions, or handling multiple images in batch. There are moderate gaps for typical vision use cases.
Maintenance
ActivityStale
ResponsivenessNo issues