A camera vision MCP server that lets AI agents capture frames, control camera parameters, recognize gestures, detect objects, and analyze scenes via local vision models.
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Limited view: static analysis for Python is partially covered.
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ChenLaoshiYF
Source: Glama
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CAMERA_MCP_YOLO_MODELPath to a YOLO weights file yolov8n.ptCAMERA_MCP_HAND_MODELPath to the hand-landmark model project models/ dirCAMERA_MCP_OLLAMA_URLOllama server address http://localhost:11434CAMERA_MCP_OLLAMA_MODELOllama vision model name qwen2.5vlTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
13/13 tools missing one or more hints — list_cameras (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); add_remote_camera (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); remove_remote_camera (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +10 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool handlers catch errors
Only 4/13 tool handlers wrap calls in try/catch (31%)
Wrap each tool handler body in try/catch and return a structured error response.
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