MCP server
by dmontgomery40
BirdStats integrates BirdNET-Pi and eBird APIs for cross-referencing bird detection and observation data, ideal for rese
Provides read-only access to BirdWeather and eBird API schemas for analyzing bird detection data and observation records. Includes analysis prompts optimized for ecological research workflows.
BirdStats is a community-built MCP server published by dmontgomery40 that provides AI assistants with tools and capabilities via the Model Context Protocol. BirdStats integrates BirdNET-Pi and eBird APIs for cross-referencing bird detection and observation data, ideal for rese It is categorized under developer tools, analytics data. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
You can install BirdStats in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
BirdStats is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: BirdStats surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, BirdStats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, BirdStats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: BirdStats surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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BirdStats integrates BirdNET-Pi and eBird APIs for cross-referencing bird detection and observation data, ideal for rese
TL;DR: Provides read-only access to BirdWeather and eBird API schemas for analyzing bird detection data and observation records. Includes analysis prompts optimized for ecological research workflows.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
