Integration
Connect Redash to Ashby
When New Dashboard fires in Redash, your agent runs Create Candidate Note in Ashby. 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 Redash and Ashby to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. 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.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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Redash can start in Ashby
When New Dashboard in Redash
then Create Candidate Note in Ashby
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 Redash and Ashby
Triggers and actions 2 triggers · 36 actions
- New Dashboard
Triggers when a new dashboard is created in your Redash site.
- New Query
Triggers when a new saved query is created in your Redash site.
- Archive Dashboard
Archives a dashboard.
- Archive Query
Archives a saved query so it no longer appears in lists.
- Create Alert
Creates an alert that fires when a query result column meets a condition.
- Create Dashboard
Creates an empty dashboard with the given name.
- Create Query
Creates a saved query on one of your Redash data sources.
- Delete Alert
Deletes an alert.
- Get Alert
Returns one alert with its condition and current state.
- Get Dashboard
Returns one dashboard and its widgets.
- Get Job
Returns the status of a query execution job and its result ID once it finishes.
- Get Query
Returns one saved query, including its text, data source and latest result ID.
- Get Query Cached Result
Returns the latest cached result rows of a query that has no parameters.
- Get Query Result
Returns the rows and columns of a query result.
- List Alerts
Returns every alert in your Redash site with its state.
- List Dashboards
Returns a page of the dashboards in your Redash site, optionally filtered by search text.
- List Data Sources
Returns the data sources your Redash queries can run on.
- List Queries
Returns a page of the saved queries in your Redash site, optionally filtered by search text.
- Refresh Query Results
Starts running a saved query, or returns its cached result when a fresh enough one exists.
- Update Dashboard
Updates a dashboard's name or tags.
- Update Query
Updates the name, text or description of a saved query.
- Add candidate tag
Adds an existing tag to a candidate in Ashby and returns the updated candidate.
- Add job
Creates a new job in Ashby with a title, department/team and location, optionally applying a job template, interview plan, employment type and brand.
- Add offer
Creates an offer for a candidate's application in Ashby by submitting the offer form for an offer process that has already been started.
- Change Job Consideration Stage
Moves a candidate's application (their consideration for a job) to a different interview stage, optionally with an archive reason and rejection email when archiving.
- Consider Candidate for Job
Considers a candidate for a job in Ashby by creating a new application, optionally placing it in a specific interview plan and stage with a source and credited user.
- Create Candidate
Creates a new candidate in Ashby with their name, contact details, social profiles, location and source.
- Create Candidate Note
Adds a note to a candidate's profile in Ashby, optionally as HTML, private, or with notifications to subscribed users.
- Find Candidate
Returns up to 100 candidates whose email address and/or name match the values you supply.
- Find Job
Returns up to 100 jobs whose title or requisition ID matches the text you search for.
- Find Job Consideration
Returns the applications (candidates being considered) for a job in Ashby, optionally narrowed by application status and creation date.
- Find Opening
Returns the openings whose identifier matches the one you supply, including each opening's state, jobs, locations, hiring team and custom fields.
- Get candidate
Returns the full details of a single Ashby candidate, including contact info, tags, applications, files and custom field values.
- List departments
Returns all departments and teams in your Ashby account, optionally including archived ones or only those changed since a previous sync.
- List locations
Returns the office and remote locations set up in your Ashby account, optionally including archived locations and regions.
- Update Candidate
Updates an existing candidate's name, contact details, social links, source, credited user and location in Ashby. Fields left blank are not changed.
- Update job
Updates an existing job in Ashby — its title, team, location, default interview plan, employment type or requisition id.
- Update Opening
Updates an existing opening in Ashby, such as its identifier, description, department, target dates, backfill flag or employment type. Returns the updated opening.
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
Redash and Ashby, answered
What can start an automation from Redash?
Any of Redash's 2 triggers in the catalog, including New Dashboard and New Query. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Ashby when something happens in Redash?
Any of Ashby's 17 actions, including Create Candidate, Create Candidate Note, Update Candidate and Update job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Ashby to Redash?
Ashby has no triggers in the catalog today, so automations start in Redash. If you need the other direction, ask: your agent reads Ashby's API documentation and adds it.
Do I have to build a connector for Redash or Ashby?
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.
Can my AI client use Redash and Ashby without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
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.