agent-vision-mcp
Enables non-vision LLMs to analyze images via any OpenAI-compatible vision API. Hardened against truncation, empty responses, and timeouts for reliable analysis.
README
agent-vision-mcp (hardened)
A hardened fork of @kitlau/agent-vision-mcp
— an MCP server that gives non-vision LLMs the ability to analyze images via any
OpenAI-compatible vision API (Claude Code, DeepSeek, etc.).
This build fixes intermittent empty / truncated image-analysis results and request hangs that affect long outputs (e.g. high-resolution 3D render screenshots) against self-hosted Qwen VLMs and similar backends.
What was broken upstream
The upstream package:
- defaulted output
max_tokensto 1024 and never grew it, so long analyses hitfinish_reason: lengthand were cut off mid-sentence — and intermittently returned emptycontent, surfacing as❌ 视觉 API 返回的内容为空; - only read
message.content, ignoringmessage.reasoning_contentused by Qwen3.x thinking-style models; - had no retry on empty / 5xx / 429 / transient network errors;
- set no client timeout, so slow high-res inference could hang and get killed
(
MCP error -32001: user-cancel).
What this build changes
dist/vision-client.js:
- Grows
max_tokenson truncation (finish_reason === "length") and retries, so a low ceiling can never silently produce a partial/empty answer (grow ceiling: 32768). - Falls back to
message.reasoning_contentwhencontentis empty (Qwen thinking mode). - Retries on empty results, 5xx, 429, and network/timeout errors with exponential backoff (default 3 retries).
- Sets an explicit client timeout (default 300000 ms) to prevent hangs.
dist/config.js:
- Adds
VISION_MAX_TOKENS(default 16384),VISION_TIMEOUT_MS(default 300000),VISION_MAX_RETRIES(default 3) env vars, exposed on the config object.
Install as an MCP server
Point your MCP client at this repo. Example claude_desktop_config.json /
.mcp.json / global ~/.claude.json entry:
{
"mcpServers": {
"agent-vision": {
"type": "stdio",
"command": "node",
"args": ["path/to/this/repo/dist/index.js"]
}
}
}
For a drop-in remote install, clone this repo and npm install, then run node dist/index.js.
Or add it as a dependency with npm install github:aabbccddwasd/agent-vision-mcp.
Environment variables
| Variable | Default | Description |
|---|---|---|
VISION_API_KEY |
(required) | API key for the OpenAI-compatible endpoint |
VISION_BASE_URL |
https://api.openai.com/v1 |
OpenAI-compatible base URL |
VISION_MODEL_NAME |
gpt-4o |
The vision model, e.g. Qwen3.6-35B-A3B |
VISION_MAX_TOKENS |
16384 |
Output token budget (was 1024 upstream) |
VISION_TIMEOUT_MS |
300000 |
Per-request client timeout |
VISION_MAX_RETRIES |
3 |
Retries for empty / 5xx / 429 / network errors |
VISION_CACHE_ENABLED |
false |
Optional disk response cache |
VISION_CACHE_DIR |
<tmp>/agent-vision-cache |
Cache directory (when enabled) |
VISION_MAX_IMAGE_SIZE |
20971520 |
Max image bytes (20 MB) |
License
MIT. Original author: kitlau86.
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