Design in Claude Code. Keep It Running in Runbear. | Runbear
If Claude Code can already build and run agents, why does Runbear exist?
I work at Runbear, where we build AI teammates for Slack and Teams. I get this question a lot.
Fair question. My answer is: use both.
With Runbear MCP, Claude Code can do more than describe the teammate. The documented toolset can create and update Runbear agents, attach apps, configure triggers, deploy to Slack, and inspect runs. Writes are explicit: your MCP client asks before each change, and the relevant Runbear scope is required.
Claude Code is where you build the teammate. Runbear is where the teammate joins the team.
The first time an agent works in Claude Code, you have a demo. The next time your team needs it, you need a teammate.
Your team does not need every person to recreate the same meeting follow-up agent. One person can build and improve it in Claude Code while the team uses the approved teammate through Runbear.
This is not terminal versus dashboard, and it is not local versus cloud. It is the difference between one working session and an approved agent that remains available to the team.
A Claude Code agent that works once is not yet a teammate
A teammate needs more than a good prompt. It needs a clear job, permission to use the right accounts, a trigger, a team destination, and a run history people can inspect.
Claude Code gives one person a natural place to shape the job, review the configuration, and propose changes. Runbear keeps the approved answers together as a shared agent in the organization.
The useful result is not the original conversation or one successful tool call. It is an agent the team can still use and inspect later.
Build the teammate in Claude Code. Let it join the team in Runbear.
Runbear MCP exposes tools for creating and updating agents, managing instructions and contexts, attaching integrations, setting triggers and schedules, deploying to Slack, and inspecting execution traces.
That does not mean one prompt silently authorizes accounts or deploys an agent. OAuth, organization permissions, write scopes, and deployment approval still apply. Claude Code can propose the configuration and carry out the changes you approve; Runbear keeps the approved result operational for the team.
| Claude Code | Runbear |
| Shape, create, and improve the teammate through MCP | Keep the approved teammate available to the team |
| Review proposed changes and approve intended writes | Keep authorized connections, triggers, permissions, Slack destination, and run history together |
One Zoom request can map a complete shared workflow
Take this meeting follow-up request:
When a Zoom customer meeting ends, wait five minutes, read the available Granola notes, extract action items by owner, and prepare the result for Slack #standup.
It sounds like one instruction. It contains three groups of decisions:
The job: What counts as an action item? What happens when no owner is named or the notes are late?
The access: Which Zoom, Granola, and Slack accounts should the agent use?
The handoff: Which meeting starts it, and which Slack workspace and channel receive the result?
One person can work through those decisions in a Claude Code conversation. You do not have to begin by rebuilding the workflow screen by screen in the Runbear UI, and every teammate does not need a copy of the original conversation or working setup.
Start with the outcome in Claude Code
Runbear MCP does not bypass connection or authorization. It lets me begin with the outcome, ask Claude Code to map the complete configuration, inspect the proposed instructions, accounts, trigger, and destination, then approve only what I intend.
Set up a Runbear agent that waits five minutes after a Zoom customer meeting, reads the Granola notes, extracts action items by owner, and prepares them for Slack #standup. Show me the complete plan before changing anything.
A complete plan should name the proposed agent instructions, the Granola account to connect, the Zoom event and five-minute delay, the Slack workspace and #standup destination, and the approvals still required.
Runbear keeps the approved teammate operational
The same decisions mapped in one Claude Code conversation remain explicit in Runbear. The UI is not a second workflow the team must recreate. It is where people can inspect and govern the approved instructions, app access, trigger, Slack permissions, destination, and run history.
Instructions: the job and its guardrails.
Apps: the integrations the agent may use; choosing an app does not authorize an account automatically.
Slack access: the workspace, channels, users, and destination the agent can reach.
Trigger: the event or schedule that starts the approved workflow.
Runbear keeps those approved pieces together after the Claude Code session ends. A teammate can use the agent without reconstructing the original prompt, conversation, or setup.
Built by one person. Used by the whole team.
One person can return to Claude Code to inspect the agent, improve its instructions, propose a trigger change, or investigate a failed run through MCP. After the intended changes, including Slack deployment where needed, are approved, the team can use the shared version through Runbear and Slack.
The team does not inherit one person’s Claude Code conversation. It inherits the approved teammate in Runbear.
Try Runbear MCP in Claude Code
Runbear MCP is in Early Access. Use one quickstart from installation to the planning experience.
Step 1 — Install
claude mcp add --transport http runbear https://api.runbear.io/mcp/cc
Step 2 — Authenticate
Run /mcp, select runbear, authenticate to the intended Runbear organization, and confirm that the connection shows Connected.
Step 3 — Verify read-only access
List my Runbear agents. Do not create, update, connect, deploy, or change anything.
In an isolated Claude Code 2.1.220 setup, I verified the install command, completed Runbear OAuth for the intended organization, confirmed the connection, and listed agents without making writes. This is a safety check, not the main payoff.
Step 4 — Ask for the planning experience
`Plan a Runbear agent for this workflow:
When a Zoom meeting ends, wait five minutes, read the Granola notes, extract action items by owner, and prepare them for #standup.
Show me the complete configuration before making any changes.`
Review the proposed instructions, accounts, trigger, permissions, and Slack destination. Approve only the writes you intend.
The official Runbear MCP reference documents the current agent creation, update, integration, trigger, Slack deployment, trace, OAuth, scope, and limitation details:
https://docs.runbear.io/api-reference/mcp-server
Claude Code is where you build the teammate. Runbear is where the teammate joins the team.
Design in Claude Code. Keep It Running in Runbear. | Runbear