developer-toolsanalytics-data

BirdStats

dmontgomery40

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

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

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 54 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.454 reviews
  • Chaitanya Patil· Dec 8, 2024

    BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Hiroshi Srinivasan· Dec 8, 2024

    We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Aditi Yang· Dec 4, 2024

    Strong directory entry: BirdStats surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Tariq Jain· Dec 4, 2024

    According to our notes, BirdStats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Piyush G· Nov 27, 2024

    According to our notes, BirdStats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Noah Haddad· Nov 27, 2024

    Strong directory entry: BirdStats surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Aditi Martin· Nov 23, 2024

    We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Hiroshi Singh· Nov 23, 2024

    BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Shikha Mishra· Oct 18, 2024

    We wired BirdStats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Hana White· Oct 18, 2024

    BirdStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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