# Connect Google BigQuery to eBird

When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Find adjacent regions** in [eBird](https://apiant.ai/connections/ebird). Describe the whole flow and it is built, tested on every scenario and kept running.

Google BigQuery **4** triggers Google BigQuery **10** actions eBird **21** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Google BigQuery and eBird to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Google BigQuery can start in eBird

- When **New Job Completed** in Google BigQuery then **Find adjacent regions** in eBird
- When **New Row** in Google BigQuery then **Find historic observations on a date** in eBird

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Google BigQuery and eBird

## Triggers and actions 4 triggers · 31 actions

- Trigger

**New Job Completed**

Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.

- Trigger

**New Row**

Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.

- Trigger

**Query Job Completed (With Row Data)**

Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.

- Trigger

**Updated Row**

Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.

- Action

**Create Row**

Creates a new row of data in a table. Note: Does not create a job.

- Action

**Create Rows**

Creates new rows of data in a table (accepts line items). Note: Does not create a job.

- Action

**Delete Rows**

Deletes every row in a table whose match column equals the value you give.

- Action

**Find One Row**

Finds the first row in a table whose column equals the value you give.

- Action

**Get Rows for Job Completed**

Returns the result rows of a finished query job.

- Action

**Import Data**

Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.

- Action

**List Datasets**

Returns the datasets in a Google Cloud project.

- Action

**List Tables**

Returns the tables in a BigQuery dataset.

- Action

**Run a Query**

Runs a SQL query against a table in BigQuery.

- Action

**Update Row(s)**

Updates every row in a table whose match column equals the value you give, setting the columns you choose.

- Action

**Find adjacent regions**

regions bordering the given region (subnational1 level only).

- Action

**Find historic observations on a date**

observations reported for a region on a specific calendar date.

- Action

**Find hotspots in a region**

list of eBird hotspots within a region.

- Action

**Find nearby hotspots**

eBird hotspots near a lat/lng point within a radius.

- Action

**Find nearby notable observations**

recent rare-species sightings near a lat/lng point.

- Action

**Find nearby observations**

recent observations within a radius (lat/lng, dist km) of a point.

- Action

**Find nearby observations of a species**

recent sightings of one species near a lat/lng point.

- Action

**Find recent notable observations in a region**

recent sightings of locally/nationally rare species in a region.

- Action

**Find recent observations in a region**

recent bird observations (default last 14 days) for a region code (country/state/county).

- Action

**Find recent observations of a species in a region**

recent sightings of one species within a region.

- Action

**Find species list for a region**

full list of species ever reported in a region.

- Action

**Get checklist**

full detail of one submitted checklist by its submission id.

- Action

**Get eBird taxonomy**

the full eBird taxonomy (species codes, scientific/common names, categories).

- Action

**Get hotspot info**

details (name, lat/lng, latest observation date, species count) for one hotspot.

- Action

**Get nearest observations of a species**

nearest locations (up to 50km) where a given species was recently seen, relative to a lat/lng.

- Action

**Get regional statistics for a date**

number of checklists/contributors/species for a region on a date.

- Action

**Get region info**

display name and bounding box for a region code.

- Action

**Get top 100 contributors**

top birders/checklist submitters for a region on a date.

- Action

**List recent checklists**

feed of recently submitted checklists for a region.

- Action

**List sub-regions**

child region codes (e.g. states in a country, counties in a state) for a parent region.

- Action

**List taxonomic groups**

species grouped by taxonomic family/group for a given grouping scheme.

## Each app on its own

- [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery)
- [ **eBird** Retrieve recent or notable birding observations within a region](https://apiant.ai/connections/ebird)

Reviews

## What our customers say

## More from Google BigQuery

- [ **Google BigQuery to HTML to Image** HTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...](https://apiant.ai/connect/google-bigquery-to-html-to-image)
- [ **Google BigQuery to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/google-bigquery-to-paperclean)
- [ **Google BigQuery to Resend** Resend is the email API for developers. It's designed for you to build, test, and send transactional and...](https://apiant.ai/connect/google-bigquery-to-resend)
- [ **Google BigQuery to TypeSafe** TypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.](https://apiant.ai/connect/google-bigquery-to-typesafe)
- [ **Google BigQuery to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-bigquery-to-hubspot)
- [ **Google BigQuery to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-bigquery-to-salesforce)

## More into eBird

- [ **Google Calendar to eBird** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-ebird)
- [ **HubSpot to eBird** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-ebird)
- [ **Salesforce to eBird** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-ebird)
- [ **Slack to eBird** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-ebird)
- [ **Google Sheets to eBird** Google Sheets](https://apiant.ai/connect/google-sheets-to-ebird)
- [ **Gmail to eBird** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-ebird)

Questions

## Google BigQuery and eBird, answered

###

### What can start an automation from Google BigQuery?

Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in eBird when something happens in Google BigQuery?

Any of eBird's 21 actions, including Find adjacent regions, Find historic observations on a date, Find hotspots in a region and Find nearby hotspots. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from eBird to Google BigQuery?

eBird has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads eBird's API documentation and adds it.

###

### Do I have to build a connector for Google BigQuery or eBird?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
