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Identify bird species from images with top-5 predictions and Chinese names.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bird-id-mcp" yet — see the docs or source repo.
Please identify the bird species in this photo, return the top 5 candidate species with confidence scores and Chinese names, and highlight the most likely result.
A bird identification list with top five candidates, confidence scores, Chinese names, and the most likely species.
Perform a preliminary identification of birds in this batch of monitoring photos. For each image, output the top 5 possible species, confidence scores, and Chinese names for later manual review.
Structured identification results per image to help researchers quickly pre-screen samples and prepare for review.
Use this test image to call the bird identification tool and return the top 5 species predictions, confidence scores, and Chinese names so I can verify the API response format.
A standardized identification response that can be used to verify the API output format and prediction fields.
Connect eBird and Xeno-canto for tracking, hotspot discovery, and recording enrichment.
Recognize images, extract text, and return structured JSON or tables.
Extract text from images on macOS with confidence scores and bounding boxes.
Enable vision-less LLMs to understand screenshots and images through a vision proxy.
Generate text descriptions from images with fast fallback vision model support.
Search, download, resize, and remove image backgrounds with AI tools.