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ebird-mcp-server

A MCP server that integrates the eBird API to connect with an AI agent.

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What's in it

Data offered docs-verified
recent bird observations by location · recent observations by species · notable (rare) observations · checklists (recent, by date, summary statistics, details, top contributors) · birding hotspots (by location or within a radius) · eBird taxonomy, including subspecies
Coverage llm-inferred
Global (per catalogue regions; all DOCS examples are in Taiwan)
Formats llm-inferred
MCP stdio
Access docs-verified
eBird API key required (request via an eBird account); MIT licence

Useful for

Use cases llm-inferred
Recent-sighting check for a survey site before ecological baseline work · Screening for notable (rare) species records near a development site for an ecology chapter · Locating eBird hotspots near a project site to plan field survey visits · Looking up official eBird taxonomy and subspecies names for consistent naming in reports
Audience llm-inferred
ecologists · environmental consultants · planners

Limitations

Constraints llm-inferred
Requires Claude Desktop app and a local Python install · Manual setup: absolute paths to Python and server.py plus API key in claude_desktop_config.json · No rate limits or API quotas documented · DOCS examples are Taiwan-focused; coverage elsewhere is not demonstrated · Repo mismatch: catalogue URL is birdingkit/ebird-mcp-server but DOCS clone siansiansu/ebird-mcp-server; verify source before install
Licence
MIT
Authentication
API key via env: EBIRD_API_KEY (auto-extracted from README)
GitHub stars
6
Last commit
29/06/2025
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search