Give your AI agents native, governed access to Trello. 206 purpose-built tools cover boards, lists, cards, checklists, labels, custom fields, members, notifications, webhooks and exports, under one policy layer.
No code. One Hub endpoint for every agent.
The DataGrout Trello MCP Server is a native Model Context Protocol server that exposes Trello as callable tools for AI agents. Agents can read boards and lists, create and update cards, comment, assign members, work with checklists, labels and custom fields, manage workspace members, set up webhooks and request board exports, all through one governed endpoint that enforces side-effect policy and runs Warden preflight on every call.
206 tools across boards, cards, checklists and workspaces
Archive, move and bulk list operations as writes
Webhooks and exports for downstream automation
Trello work lives in cards, so most of the tools revolve around them. The groups below follow how a board is actually used; the full inventory is in your signed-in workspace.
Understand the structure of a board and shape it as work changes.
The unit of work. Create it, move it, assign it and keep it current.
The conversation and evidence around a card.
Structured detail that turns a card into a trackable piece of work.
Who is involved and how the work is categorised.
Awareness and integration: what is new, what matches, and where to send events.
Everything happens in the DataGrout Hub — no code, no per-agent configuration.
In DataGrout, open the Hub Server that will carry your integrations and click Add Integration.
Search for Trello, then select the native MCP Server integration.
Connect through Trello OAuth using DataGrout credentials or your own application keys. mTLS is optional.
Expose the board and card tools the agent needs, then set side-effect and Warden policy.
OAuth2
Choose DataGrout credentials or your own application keys, then click Connect to start the account connection.
mTLS (Mutual TLS)
Optional transport-level client identity, used alone or on top of the OAuth2 connection.
Trello responses include the identifiers an agent needs to chain calls: board, list and card IDs, along with the labels, members and dates that describe the work.
The server ships with the same layered policy engine as every DataGrout integration. Security teams set the posture once; every agent inherits it.
Read and write are available. Side effects are governed by your policy, set per integration and inherited from the Hub Server above it.
PII access and destructive operations are separate policy switches, so you decide what an agent may reach. Member and email details are returned by several read tools.
Card text is written by many people. Warden screens every call in Off, Log only, Advisory or Enforce mode before it executes.
Integration policy inherits from the Hub Server and can only get stricter, Warden posture included. A child integration never weakens its parent.
Every execution can return a receipt, a pre-run credit estimate, a Cognitive Trust Certificate and a full execution summary — so an agent's work on your Trello data is always explainable.
Four patterns that show up again and again once a Trello connection is in place.
Turn emails, forms or chat requests into cards with the right list, labels, due date and assignee, and a checklist for the standard steps.
An agent reads each list, finds overdue and stalled cards, and posts a short status with the cards that need a decision.
Archive done cards in bulk, tidy labels, and fill missing custom fields, with every change recorded in the receipt.
Pull actions and card data for a period, request a board export when someone needs a snapshot, and send a summary to stakeholders.
One Hub endpoint can carry all of them — same policy layer, same observability.
Add the Trello MCP Server to your DataGrout Hub and let agents keep boards current, cards moving and teams informed, with governance on every change.
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