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Improvado's Trello MCP server connects your boards to AI agents. Ask about card status, team workload, blocked tasks, and sprint progress in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Stop clicking through boards to track status. Ask your AI agent what's overdue, who's overloaded, and what's been stuck in review — across all workspaces and boards at once.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Create cards, move them between lists, assign members, and set due dates directly through your AI agent. The MCP server handles Trello API operations — you just describe what needs to happen.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on stalled cards, overdue items, and workload imbalances. Your AI agent monitors board activity and surfaces blockers before they delay delivery.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Create cards, move them between lists, assign members, and set due dates directly through your AI agent. The MCP server handles Trello API operations — you just describe what needs to happen.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Teams running multiple Trello boards have no single view of overall project health. Getting a cross-board status requires manually opening each board, copying card counts, and assembling them in a spreadsheet — a process that gets skipped under deadline pressure.
Improvado aggregates Trello data across all boards and workspaces into one data model. The MCP server lets your AI agent answer cross-board questions instantly — workload by person, overdue items by team, throughput by list.
Trello is a visual tool, not an analytics platform. There's no native way to measure cycle time, throughput, or bottleneck frequency. Teams either pay for Power-Ups or rely on gut feel when reporting project progress to stakeholders.
Improvado transforms Trello activity data into queryable metrics — cycle time per list, card age, member throughput, and historical movement patterns. Ask the MCP server for the analytics Trello doesn't show natively.
Sprint retrospectives need historical data — what got completed, what was blocked, how long things took. Without a proper analytics layer, teams either skip data-driven retros or spend an hour digging through card activity logs.
Improvado stores Trello history with timestamps and activity metadata. Ask the MCP server about completion rates, block frequency, and cycle time for any date range — retro prep goes from one hour to two minutes.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
You can query cards, lists, board membership, due dates, labels, assignees, activity history, and card movement between lists. Improvado normalizes this into a structured data model so your AI agent can answer questions about workload, cycle time, and project health without manual board review.
Yes. Improvado can ingest Trello custom fields and Power-Up data where the API exposes it. If your team uses custom fields for priority, story points, or department tagging, your AI agent can filter and group by those fields in its queries.
Yes. The write capabilities allow your AI agent to create cards, update descriptions, move cards between lists, assign members, set due dates, and add labels — all through natural language instructions without opening Trello.
Trello Butler handles rule-based automation within a single board. Improvado's MCP server enables AI-driven querying and action across all boards and workspaces simultaneously. You can ask analytical questions, get cross-board summaries, and trigger actions based on natural language — things Butler's rule engine cannot do.
Yes, the Trello MCP integration can access all boards that your connected Trello account has permission to view, including boards across multiple workspaces. You can query cards, lists, labels, and member assignments from any accessible board in a single conversation. If certain boards are private or belong to a workspace your account is not a member of, those will not be accessible.
The Trello MCP integration queries the Trello API in real time whenever you ask a question, so the data returned reflects the current state of your boards at the moment of the request. There is no cache layer that could serve stale card statuses or outdated due dates. This makes it reliable for operational questions like checking sprint progress or identifying overdue cards during a live standup.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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