baserow_logo_glyph

Baserow

· #62 most-used

The open-source no-code database your agents can read and write

DatabaseProductivityProjectsAutomationSpreadsheets

Baserow is an open-source, self-hostable no-code database that gives every team a spreadsheet-like interface backed by a real relational store. Connect it to Actionist and your agents can create rows the moment a deal closes, update records when a ticket resolves, query hundreds of entries to compile a report, and react to row changes across any table — all without writing a line of SQL or leaving your workflow.

Average time saved
11 hours
per person · per month
1 workdays back

Eliminates manual work. Agents eliminate the copy-paste loop between Baserow and every other tool — no more exporting CSVs, manually updating rows after status changes, or cross-referencing tables to build a weekly report.

Schedule

What your Baserow agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Mon
Tue
Wed
Thu
Fri
7am
8am
9am
10am
11am
12pm
1pm
2pm
3pm
4pm
5pm
6pm
Agents
Multi-app workflows

Baserow × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
9Apps spanned
~26 hrsSaved / week
6Personas served
customer-success★ FeaturedSaves 18m saved · runs ~40× /week

New ticket routed and logged in 60 seconds

When a support email arrives in Gmail, your agent parses the subject, severity, and customer details — creates a Baserow ticket row with the right priority tag, updates the customer's Baserow account row with last-contact date, posts the ticket number and summary in Slack for the support queue, and drops a follow-up reminder on Google Calendar. The support rep opens Baserow to a fully-populated ticket; nothing typed, nothing forgotten.

Trigger: When a new customer support email arrives in Gmail
Step 1 trigger
Gmail
Detect new support email in inbox
Step 2 read
Baserow
Get customer account row by email address
Step 3 write
Baserow
Create a row in the support tickets table
Step 4 write
Slack
Post ticket summary to #support-queue channel
Step 5 write
Google Calendar
Create follow-up reminder 24 hours out
Zero tickets lost in email
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    19 min / week
    Manual CRM data entry

    Reps copy deal details from email into Baserow rows after every call, eating 19 minutes a week of selling time.

    Sales Agent
    0 min
    Agent logs every deal update

    When a deal status changes in HubSpot, the agent updates the matching Baserow row instantly — reps never open a data-entry form again.

  • Marketing
    14 min / week
    Campaign results copy-paste

    After each email blast, the marketing manager manually enters open rates and click counts into the Baserow campaign table.

    Marketing Agent
    0 min
    Agent syncs campaign metrics

    The agent reads HubSpot campaign results and creates a Baserow row automatically — the archive is always current before the team's debrief.

  • Customer Support
    19 min / week
    Ticket logging in Baserow

    Support staff manually create a Baserow row for every inbound support email, duplicating effort already logged in their inbox.

    Customer Support Agent
    0 min
    Agent creates tickets instantly

    When a support email arrives, the agent creates the Baserow ticket row, tags severity, and links the Gmail thread — rep opens Baserow to a fully-formed record.

  • Human Resources
    8 min / week
    New hire data entry

    HR manually enters each new employee's details into the Baserow onboarding table after confirming the offer in the ATS.

    Human Resources Agent
    0 min
    Agent populates onboarding row

    When an offer is accepted in Greenhouse, the agent creates the Baserow onboarding row with start date, role, and buddy pre-filled — Day 1 prep begins automatically.

  • Finance
    14 min / week
    Invoice table updates

    Finance manually adds each new invoice to the Baserow billing table and updates the row when payment lands, risking gaps in the record.

    Finance Agent
    0 min
    Agent tracks every invoice

    The agent creates the Baserow invoice row when the bill is issued and updates it to 'Paid' when Stripe confirms the charge — no manual entry, no missed payments.

  • Operations
    30 min / week
    Weekly KPI data entry

    The ops team spends 30 minutes each Monday copying KPI figures from scattered sources into the Baserow metrics table for the weekly review.

    Operations Agent
    0 min
    Agent compiles KPI rows overnight

    The agent reads source systems each Sunday night, creates Baserow metric rows for every KPI, and has the table ready before the first stand-up.

  • Legal
    6 min / week
    Contract status updates

    Legal manually updates the Baserow contract register row when a document is signed, often days after the event.

    Legal Agent
    0 min
    Agent updates register on signature

    When DocuSign marks a contract as executed, the agent updates the Baserow contract row's status and signed_at timestamp within seconds.

+ 100s of other Baserow automations
Average monthly
11 hrs / person / month
Average monthly
11 hrs / person / month
Calculator

Calculate what your team saves

Team size
10 people
Hourly rate
$20 / hr
Hours saved / week
28
Hours saved / year
1,400
Annual ROI
$28,000

Based on Baserow's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.8 hrs / person / week of admin work automated.

Connect

How to plug Baserow into Actionist

Pick the connection method that suits your environment.

The bram2w/baserow MCP server gives Actionist direct row-level read and write access to any Baserow table — connect once and your agents can create, update, and query records without touching the Baserow UI.

1
Open the Apps tab

Find Baserow in the Apps library and click Connect. MCP is selected by default.

2
Generate a Baserow API token

In Baserow, go to your account Settings → API tokens, create a new token with read/write access to the databases your agent will use, and copy it.

3
Test the connection

Actionist runs a read-only call to verify the handshake. You're ready.

Actions

15 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

7 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

Skills

Skills that pair with Baserow

Reusable agent skills that work well alongside this app.

No paired skills curated yet. Add this app to your agent to discover what fits.
MCP servers

MCP servers that work with Baserow

Connect Actionist to MCP servers built for or around this app.

bram2w/baserow

MCP server that exposes Baserow table search, list, and full row CRUD operations to any connected agent.

FAQs

Questions about Baserow + Actionist

How do I connect Baserow to Actionist?
Open the Apps tab, find Baserow, and choose your preferred connection method. MCP is the fastest — click Connect, generate a Baserow API token under Settings → API tokens, paste it when prompted, and Actionist verifies the handshake with a read-only call. Your agents can start reading and writing rows immediately.
What permissions does the Baserow API token need?
Your token needs at minimum read access to every table the agent will query, and read/write access to any table it will create or update rows in. Scope the token to specific databases rather than your whole workspace — it limits blast radius if the token is ever rotated. Baserow's token settings let you pick databases individually.
Can Actionist agents work with multiple Baserow tables?
Yes — each action call targets a specific table ID, so a single workflow can read from a contacts table, write to a tickets table, and update a billing table in sequence. Your agent resolves table IDs at runtime, so adding a new table in Baserow is immediately available without reconfiguring the connection.
What Baserow objects can agents read and write?
Agents cover the full row lifecycle: create, read, update, and delete — both single rows and bulk operations. Beyond rows, they can list and create tables and fields, list databases, upload file attachments, and batch-create rows for high-volume ingestion. Views and triggers are also observable for event-driven workflows.
How do I avoid agents creating duplicate rows?
Before creating a row, have the agent call Get many rows with a filter on a unique identifier — email address, order ID, or deal name. If the filter returns a result, route to Update a row instead of Create a row. This read-before-write pattern costs one extra API call but prevents duplicates in any table that lacks a unique-constraint enforcement.
Does Actionist support self-hosted Baserow instances?
Yes — when connecting via API token, set the host field to your self-hosted instance URL (e.g. https://baserow.yourdomain.com) instead of the default https://api.baserow.io. MCP connections point to the same host. Ensure your instance is reachable from the network where Actionist runs and that HTTPS is configured.
How many rows can an agent read in one call?
The Get many rows action fetches up to the page size your Baserow instance allows (default 200 per page). For tables with thousands of rows, the agent can paginate automatically by tracking the offset between calls. For bulk ingestion, use Batch create rows — it submits up to the API's row limit per call, dramatically reducing round-trips compared to looping single creates.
What happens if the Baserow token is rotated?
The agent's next action will return a 401 Unauthorised error. Go to the Apps tab, open the Baserow connection, and paste the new token. All workflows using this connection resume immediately — you do not need to reconfigure individual workflows. Rotate tokens on a schedule (90 days is common) and store them only in Actionist's encrypted credential store, never in workflow notes or message history.