What is the BirdStats MCP server?

BirdStats is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.

How do MCP servers relate to agent skills?

Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.

How are reviews shown for BirdStats?

This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

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BirdStats▌

by dmontgomery40

BirdStats integrates BirdNET-Pi and eBird APIs for cross-referencing bird detection and observation data, ideal for rese

Integrates BirdNET-Pi and eBird APIs to enable cross-referencing bird detection data with observation records for ecological research and bird watching insights.

github stars

★ 1

GitHub npm

Token-optimized responsesStructured error handlingDocker support

best for

/ Ecological researchers studying bird populations
/ Bird watchers analyzing detection patterns
/ Developers building bird monitoring applications

capabilities

/ Access BirdWeather API schema and data
/ Query eBird API specifications
/ Get bird analysis system prompts
/ Cross-reference bird detection with observation data

what it does

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.

about

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.

how to install

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.

license

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.

readme

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.

What it does

Access BirdWeather API schema and data
Query eBird API specifications
Get bird analysis system prompts
Cross-reference bird detection with observation data

Best for

Ecological researchers studying bird populations
Bird watchers analyzing detection patterns
Developers building bird monitoring applications

Highlights

Token-optimized responses
Structured error handling
Docker support

FAQ

What is the BirdStats MCP server?: BirdStats is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?: Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for BirdStats?: This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

MCP server reviews

Ratings

4.5★★★★★10 reviews

★★★★★Shikha Mishra· Oct 10, 2024
BirdStats is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
★★★★★Piyush G· Sep 9, 2024
We evaluated BirdStats against two servers with overlapping tools; this profile had the clearer scope statement.
★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: BirdStats is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Sakshi Patil· Jul 7, 2024
BirdStats reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
★★★★★Ganesh Mohane· Jun 6, 2024
I recommend BirdStats for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: BirdStats surfaces stars and publisher context so we could sanity-check maintenance before adopting.
★★★★★Dhruvi Jain· Apr 4, 2024
BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
★★★★★Rahul Santra· Mar 3, 2024
According to our notes, BirdStats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
★★★★★Pratham Ware· Feb 2, 2024
We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
★★★★★Yash Thakker· Jan 1, 2024
BirdStats is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.