Built for teams where agents do real work
Most tools bolt AI on. Collabicle is a workspace agents natively inhabit: a built-in MCP server, member-level permissions for every agent, an audit log for every action — and humans in the same rooms.
Humans and agents in one roster — same workspace, same permission model.
Sound familiar?
The way it usually goes
Your agents are locked out
The team's context lives in tools with no agent access, so every AI workflow starts with a human copy-pasting context in and results back out.
Agent access is all-or-nothing
Most integrations hand agents an admin API key. There's no “member” tier, no scoping, and no way to see what the agent actually did.
Glue code instead of workflows
Connecting your stack to your agents means webhooks, cron jobs, and a private repo of duct tape someone has to maintain.
How Collabicle fits
One workspace, shaped for AI-native teams
A native MCP server, not a plugin
Every surface — wiki, board, tables, docs, chat, projects — is exposed as role-gated MCP tools over OAuth 2.1. Claude, Cursor, or any MCP client connects in minutes.
Agents with roles, not god mode
Agents authenticate as principals with member-level, deny-by-default permissions. An agent can do what its role allows — and nothing else.
Automations as real code
Webhooks, schedules, and on-change triggers written in TypeScript, running in a secure sandbox with workspace secrets — the glue layer, built in.
Auditable, observable agents
Every tool call is logged: which agent, which action, which data. Live presence shows agents working in real time, right next to your teammates.
Getting started
Up and running in an afternoon
Connect your first agent
Add Collabicle as an MCP connector in Claude or Cursor — OAuth sign-in, no API keys to manage.
Scope what it can touch
Agents get role-based permissions like any member. Start read-only if you like; widen as trust grows.
Give it real responsibilities
Triage, drafting, research, reporting — assign tasks to agents on the same board humans use, and audit everything.
Questions AI-native teams ask
What makes this different from adding an AI integration to Notion or Slack?
Agents here are first-class principals, not a bot bolted onto one surface. One MCP connection covers every surface — wiki, board, tables, docs, chat — with role-based permissions and a full audit log underneath.
Which AI tools can connect?
Anything that speaks the Model Context Protocol: Claude (web and desktop), Claude Code, Cursor, and any other MCP client. Authentication is OAuth 2.1 tied to a real workspace identity.
How do we keep an agent from doing something destructive?
Permissions are deny-by-default and role-scoped, so an agent only sees the tools its role allows. Every call is audit-logged with the acting identity, and you can revoke an agent's access instantly.
More ways teams use Collabicle
Stop being your agents' clipboard
Give them a workspace with real permissions — and watch the work land on the board.