# SongSage

> Use this tool when you need to analyze bioacoustic data for wildlife monitoring and conservation research through natural language interaction. SongSage connects audio analysis software with a language model, enabling users to input natural language queries and receive insights on wildlife sounds. Ideal for researchers and conservationists seeking to streamline their workflow and gain deeper understanding of bioacoustic data.

Canonical page: https://skillsregistry.net/skills/imageomics-songsage  
JSON: https://api.skillsregistry.net/v1/skills/imageomics-songsage

## Description

SongSage is a Model Context Protocol (MCP) server that connects BirdNET-Analyzer-Sierra with Claude Desktop, enabling natural language interaction with bioacoustic data for wildlife monitoring and conservation research.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tuw2qx8ds0)
- **Repository:** <https://github.com/Imageomics/SongSage>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "imageomics-songsage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imageomics-songsage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imageomics-songsage/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt