Introduction
Access is the AI company workspace.
Unlike a chatbot that just answers questions, agents here own work. They query Postgres, inspect the cluster, post to Slack, and keep a job going when it should happen every morning. Describe the outcome in plain English. Access figures out the rest.
Connect your stack once. Access keeps the passwords. Point your own agents — Cursor, Claude, anything that speaks MCP — at a single server, and they can use everything you’ve connected. When the work should be reliable and repeatable, write it as code. No flowcharts.
Agents that own the work
An agent isn’t a prompt you paste into a chat. It’s a teammate with a job, the connections that job needs, and the notes it should already know.
Make an agent that watches failed jobs in Postgres and posts a Slack summary when they spike.
Talk to it in Chat. Give it a job to keep. See Agents.
Connect your stack
Postgres, Kubernetes, Slack, GitHub, any HTTP API. Connect once. Every agent in the workspace uses that connection. The agent never sees the password.
Connect Postgres.
See Resources and Integrations.
Bring your own agents
You don’t have to work only in Access Chat. Point Cursor or Claude at Access — one MCP connection, your whole stack. No new server per database.
Code, not canvases
When you already know the steps, Access writes a workflow as TypeScript you can read, rerun, and schedule. Visual builders are fiddly. Code is the job.
Every weekday at 9, query Postgres for failed jobs and post a Slack summary.
See Workflows.
Knowledge
Drop in runbooks, skills, and files so agents don’t rediscover your world every morning. Access also learns from the tools you connect, and it can remember facts from your chats.
Next
Quickstart — start the workspace, connect a tool, and let an agent do the work.