BirdNet-Pi
This BirdNet-Pi MCP server, developed by DMontgomery40, integrates BirdNet-Pi's bird detection capabilities with a FastAPI-based JSON-RPC interface. It provides functions for retrieving bird detections, detection statistics, audio recordings, and daily activity data. The server abstracts BirdNet-Pi's functionality, offering a standardized way for AI assistants to access and analyze bird detection data. By connecting AI systems with BirdNet-Pi's acoustic monitoring capabilities, this implementation enables applications such as automated bird species identification, habitat monitoring, and ecological research. It is particularly useful for ornithologists, conservationists, and citizen scientists who want to leverage AI for analyzing bird populations and behaviors.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/dmontgomery40/mcp-local-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve BirdNet-Pi from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.