69
/ 100
1 month ago
glama

bird-id-mcp

Identifies bird species from images using YOLO detection and ConvNeXt classification, returning top-5 species with confidence and Chinese names.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configBIRD_ID_MODEL_DIR
configBIRD_ID_CLS_MODELconvnext uvx --from git+https://github.com/Hakureirm/bird-id-mcp.git bird-id-mcp
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/hakureirm-bird-id-mcp-1otxbp)](https://m8ven.ai/mcp/hakureirm-bird-id-mcp-1otxbp)
commit: 437f7e9d4c0150eda3d5e37c11f4e70365362b2e
code hash: 1ff348b5c5dedb64e3ecc453a28f822e2a472e3924ee1bdc7f634f731ae597dc
verified: 6/21/2026, 10:43:54 AM
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