How can I find recordings of a specific bird species?

Use the `search_recordings` tool with the species name or scientific name (e.g., 'Common Blackbird' or 'Turdus merula'). You can combine this with other filters like country or quality.

Can I filter results by recording quality or location?

Yes! The `search_recordings` tool supports Xeno-canto syntax. Use `cnt:france` for location or `q:A` for the highest quality recordings within your query string.

Is there a limit to the number of results I can retrieve?

The `search_recordings` tool returns results in pages. You can use the `page` parameter to navigate through the database, with each page containing up to 500 recordings.

Xeno-canto MCP Connector for Claude

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Search and explore the world's largest collection of bird sound recordings directly from your AI agent.

1 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect to the Xeno-canto database to access over 800,000 recordings of bird sounds from across the globe. This MCP server allows your AI agent to query the massive open-access collection of wildlife sounds for research, identification, or education.

What you can do

Advanced Search — Query recordings using specific filters like genus, species, country, or quality grade using the search_recordings tool.
Scientific Data — Retrieve metadata including location, recordist, date, and sound type (song, call, etc.) for every recording found.
Global Coverage — Access recordings from every continent, covering thousands of species and subspecies.
Pagination Support — Navigate through large result sets with built-in page management for comprehensive data analysis.

How it works

Subscribe to this server
No API key is required for public access to the Xeno-canto database
Start searching for bird sounds using natural language or Xeno-canto's advanced query syntax

Who is this for?

Ornithologists & Researchers — quickly gather audio data and metadata for specific species across different geographic regions.
Nature Enthusiasts — identify bird calls and explore the vocalizations of birds from around the world.
Data Scientists — collect bioacoustic datasets for machine learning and environmental analysis.

ornithologybioacousticswildlifebird-songsnature