Integration
Connect GitHub and Google BigQuery
When New Branch fires in GitHub, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Add Labels to Issue in GitHub. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want GitHub and Google BigQuery to do together?
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https://mcp.apiant.aiAny 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What GitHub and Google BigQuery can do together
From GitHub to Google BigQuery
When New Branch in GitHub
then Create Row in Google BigQuery
From Google BigQuery to GitHub
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 GitHub and Google BigQuery
Triggers and actions 19 triggers · 29 actions
- Issue Closed
Triggers when an issue in a repository is closed.
- New Branch
Triggers when a new branch is created in a GitHub repository.
- New Collaborator
Triggers when a new collaborator is added to a GitHub repository.
- New Commit
Triggers when a new commit is pushed to a GitHub repository's default branch.
- New Commit Comment
Triggers when someone comments on a commit in a repository.
- New Gist
Triggers when you create a new gist on GitHub.
- New Global Event
Triggers when a new public event happens anywhere on GitHub, such as a push, fork, or new issue.
- New Issue
Triggers when a new issue is created in a repository.
- New Label
Triggers when a new label is added to a GitHub repository.
- New Milestone
Triggers when a new milestone is created in a repository.
- New Pull Request
Triggers when a new pull request is opened in a repository.
- New Release
Triggers when a new release is published in a GitHub repository.
- New Repo Event
Triggers when new activity (pushes, issues, pull requests, releases and more) happens in a GitHub repository.
- New Repository
Triggers when a new public repository appears under a GitHub user or organization.
- New Watcher
Triggers when someone starts watching a repository.
- Add Labels to Issue
Adds labels to an issue or pull request in a GitHub repository, keeping its existing labels.
- Check Organization Membership
Checks whether a GitHub user is a member of an organization and returns true or false.
- Create Branch
Creates a new branch in a repository, starting from the commit you choose.
- Create Comment
Adds a comment to an issue or pull request in a GitHub repository.
- Create Gist
Creates a new gist with one file on the connected GitHub account.
- Create Issue
Creates a new issue in a GitHub repository.
- Create or Update File
Creates a new file in a repository, or replaces an existing file's contents, as a commit.
- Create Pull Request
Opens a pull request asking to merge one branch into another.
- Delete Branch
Deletes a branch from a repository. Any open pull request from that branch is closed.
- Find Branch
Finds a branch in a GitHub repository by name and returns its latest commit and protection status.
- Find Issue
Finds an issue in a GitHub repository by its number and returns its title, body, state, author and labels.
- Find Organization
Finds a GitHub organization by its login and returns its profile details.
- Find Pull Request
Finds a pull request in a GitHub repository by its number and returns its title, state, branches and merge status.
- Find Repository
Returns a GitHub repository by its owner and name, including its description, visibility, default branch and counts.
- Find User
Finds a GitHub user by username and returns their public profile.
- Get File Contents
Returns a file from a GitHub repository, with its base64-encoded content, at the default branch or a chosen branch, tag or commit.
- Submit Review
Submits a review on a pull request: approve it, request changes, or leave a review comment.
- Update Issue
Updates an existing issue in a GitHub repository, such as its title, text, state, labels or assignees.
- Update Pull Request
Changes a pull request's title, description, target branch, or open/closed state.
- New Job Completed
Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.
- 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.
- Query Job Completed (With Row Data)
Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
- Updated Row
Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
- Create Row
Creates a new row of data in a table. Note: Does not create a job.
- Create Rows
Creates new rows of data in a table (accepts line items). Note: Does not create a job.
- Delete Rows
Deletes every row in a table whose match column equals the value you give.
- Find One Row
Finds the first row in a table whose column equals the value you give.
- Get Rows for Job Completed
Returns the result rows of a finished query job.
- 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.
- List Datasets
Returns the datasets in a Google Cloud project.
- List Tables
Returns the tables in a BigQuery dataset.
- Run a Query
Runs a SQL query against a table in BigQuery.
- Update Row(s)
Updates every row in a table whose match column equals the value you give, setting the columns you choose.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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Questions
GitHub and Google BigQuery, answered
What can start an automation from GitHub?
Any of GitHub's 15 triggers in the catalog, including New Branch, New Collaborator, New Commit and New Commit Comment. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google BigQuery when something happens in GitHub?
Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google BigQuery to GitHub?
Yes. When something happens in Google BigQuery, your agent can act in GitHub too. This page covers both directions: Google BigQuery's triggers and GitHub's actions are listed here as well.
Do I have to build a connector for GitHub or Google BigQuery?
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.