AI · On the roadmap

Model Context Protocol integration.

One open protocol, every AI agent. The Planoda MCP server exposes issues, comments, and workspace context as tools over the Model Context Protocol, so any MCP-capable client — not only the vendors with their own dedicated page — can read and write your workspace under the same governance.

Wedge: one open MCP surface, every agent — not a per-vendor plugin.

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Model Context Protocol integration in short

The Model Context Protocol integration connects Model Context Protocol with Planoda — on the roadmap.
One open protocol, every AI agent. The Planoda MCP server exposes issues, comments, and workspace context as tools over the Model Context Protocol, so any MCP-capable client — not only the vendors with their own dedicated page — can read and write your workspace under the same governance.
What you can do: Connect any MCP-capable client (Claude, ChatGPT, Cursor, Windsurf, Zed, or a custom agent) to the same server, instead of maintaining a bespoke plugin per vendor. Scope a connection to specific teams and to read / write / destructive capability tiers, enforced centrally rather than per client.
On the roadmap — not yet connectable from Settings → Integrations.

What you can do

Put Model Context Protocol to work.

Connect any MCP-capable client (Claude, ChatGPT, Cursor, Windsurf, Zed, or a custom agent) to the same server, instead of maintaining a bespoke plugin per vendor.
Scope a connection to specific teams and to read / write / destructive capability tiers, enforced centrally rather than per client.
Hold destructive tools (delete, bulk archive, bulk update) behind explicit propose-and-approve — the guardrail derives "destructive" from the tool registry itself, so a newly added destructive tool can't ship ungated by accident.
Attribute every AI-initiated change to its connection on the same audit trail as a human edit.

Great for

Where Model Context Protocol pulls its weight.

Connect an in-house or less common MCP client without waiting for a dedicated integration.
Standardize AI-agent governance across every client your team uses, instead of per-vendor settings.

Setup

How Model Context Protocol will connect.

On the roadmap — not connectable yet. Here's the flow it's designed to support once it ships.

Generate a connectionFrom Settings → Integrations, generate a Planoda MCP connection and copy its endpoint and credentials.
Add it to your clientAdd the Streamable HTTP endpoint to any MCP-capable client.
Scope capabilitiesChoose which teams the connection reaches and which capabilities (read, write, destructive) it may use.
ConfirmAsk the client to look up a real issue — a successful read confirms the connection.

FAQ