eBird MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| EBIRD_API_KEY | Yes | Your eBird API key obtained from https://ebird.org/api/keygen |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_recent_observationsA | Get recent bird observations in a region (up to 30 days ago). Returns species, location, date, and count info. |
| get_notable_observationsC | Get recent notable/rare bird observations in a region. Notable observations are for locally or nationally rare species. |
| get_species_observationsC | Get recent observations of a specific species in a region. |
| get_nearby_observationsC | Get recent observations near a geographic location. |
| get_nearby_species_observationsC | Get recent observations of a specific species near a location. |
| get_nearest_species_observationsB | Find the nearest locations where a species has been seen recently. |
| get_nearby_notable_observationsC | Get notable/rare observations near a location. |
| get_historic_observationsC | Get observations from a specific date in history. |
| get_top_100C | Get the top 100 contributors on a given date. |
| get_recent_checklistsC | Get the most recently submitted checklists for a region. |
| get_checklists_on_dateC | Get checklists submitted on a specific date. |
| get_regional_statisticsC | Get statistics for a region on a specific date (checklist count, species count, contributor count). |
| get_species_listB | Get all species ever recorded in a region (species codes in taxonomic order). |
| get_checklistC | Get details of a specific checklist including all observations. |
| get_adjacent_regionsC | Get regions that share a border with the specified region. |
| get_hotspots_in_regionC | Get birding hotspots in a region. |
| get_nearby_hotspotsC | Get birding hotspots near a location. |
| get_hotspot_infoC | Get information about a specific hotspot. |
| get_taxonomyB | Get the eBird taxonomy (list of all species with codes, names, and classification). |
| get_taxonomic_formsC | Get subspecies/forms for a species. |
| get_taxa_localesB | Get available language codes for species names. |
| get_taxonomy_versionsB | Get all available taxonomy versions. |
| get_taxonomic_groupsB | Get species groups (e.g., 'Waterfowl', 'Raptors'). |
| get_region_infoC | Get information about a region including name, bounds, and parent hierarchy. |
| get_sub_regionsA | Get sub-regions within a parent region. Examples: get_sub_regions('country', 'world') for all countries, get_sub_regions('subnational1', 'US') for US states. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 25 tools
The tools have clear purposes but significant overlap exists, particularly among observation-related tools (e.g., get_nearby_observations, get_recent_observations, get_historic_observations, get_notable_observations) and region-related tools (e.g., get_adjacent_regions, get_sub_regions, get_region_info). Descriptions help differentiate them, but an agent might struggle to choose the most appropriate one in some scenarios.
All tools follow a consistent verb_noun pattern with 'get_' as the prefix, making them predictable and easy to parse. There are no deviations in naming style, such as mixed cases or varying verb forms, which enhances readability and usability.
With 25 tools, the count is on the higher side for a focused domain like eBird data access, bordering on heavy. While many tools serve distinct functions, the number may overwhelm agents and could indicate potential redundancy or over-specialization in the API surface.
The tool set provides comprehensive coverage for birding data, including observations, regions, hotspots, checklists, species, and taxonomy. It supports CRUD-like operations for querying and retrieving data across the domain, with no obvious gaps that would hinder agent workflows or cause dead ends.