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dsh-vision-mcp

moton16/dsh-vision-mcp

Zero-dependency MCP server that equips text-only LLMs (e.g., DeepSeek) with vision by converting images to text descriptions via OpenAI-compatible vision APIs, exposing an img2text tool with multi-provider fallback.

↗moton16/dsh-vision-mcpExternal link; availability not verifiedLicenseMIT LicenseHybrid hosting
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Time indexed (1mo)
0toolsHybrid1moindexed
Checked Aug 17, 2026
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First indexed Aug 15, 2026
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Can run locally or remotely depending on deployment. Review the source repository.
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Source repository is available for review.
↗moton16/dsh-vision-mcpExternal link; availability not verified
Environment variables (8)
At least one of these required
VISION_API_BASE · VISION_MODEL
At least one of these required
VISION_PROVIDERS
VISION_MODELstringOPTIONALdefault: gpt-4o-mini
Vision model name
VISION_API_KEYstringOPTIONAL
API key; can be omitted for local Ollama and other key-free services
VISION_API_BASEstringOPTIONALdefault: https://api.openai.com/v1
OpenAI-compatible API base URL (without /chat/completions)
VISION_PROVIDERSstringOPTIONAL
JSON array of provider configurations for fallback
VISION_REASONINGstringOPTIONAL
Global fallback reasoning effort: none, low, medium, high
Show all 8 environment variables
VISION_MAX_TOKENSstringOPTIONALdefault: 4096
Maximum output tokens
VISION_TIMEOUT_MSstringOPTIONALdefault: 120000
Request timeout in milliseconds
VISION_TEMPERATUREstringOPTIONALdefault: 0.2
Sampling temperature

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Zero-dependency MCP server that enables text-only models to "see" images via a read_image tool, which forwards the image (local path, URL, data URL, or base64) to any OpenAI-compatible vision API and returns the textual description to the main model.
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