trello · MCP Server

Trello + Improvado MCP — Project Data, One Question Away

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.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Instant Visibility Across Every Board

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.

Example prompts

"Cards overdue by more than 3 days across all boards"

20 min → 30 sec

"Workload per team member by open cards this week"

15 min → 20 sec

"Cards in 'In Review' for more than 5 days"

10 min → 15 sec

Works with Claude ChatGPT Cursor +5

Write

Write: Update Cards Without Leaving the Chat

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.

Example prompts

"Create a card in Marketing Q2 board: 'Draft landing page copy', due Friday"

3 min → 10 sec

"Move all cards labeled 'blocked' to the 'Needs Attention' list"

10 min → 15 sec

"Assign overdue cards without an owner to the project lead"

15 min → 20 sec

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Catch Bottlenecks Before They Stall Projects

Set up watches on stalled cards, overdue items, and workload imbalances. Your AI agent monitors board activity and surfaces blockers before they delay delivery.

Example prompts

"Alert me when any card sits in 'In Progress' over 7 days"

Manual → auto

"Monday morning summary of overdue cards by board"

30 min → auto

"Flag boards with no card movement in the last 3 days"

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

No Cross-Board Visibility Without Manual Exports

The problem

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.

How MCP solves it

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.

Try asking

Show overdue cards by team across all 12 active boards

Answer in seconds

All data sources, one query

Challenge 2

Trello Has No Built-In Analytics

The problem

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.

How MCP solves it

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.

Try asking

Average time cards spend in each list for the Dev board this month

Full detail preserved

No data loss on export

Challenge 3

Retrospectives Require Manual Log Review

The problem

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.

How MCP solves it

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.

Try asking

Sprint summary: completed vs. blocked cards, avg cycle time

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

What Trello data can I query through Improvado's MCP server?

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.

Does this work with Trello Power-Ups and custom fields?

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.

Can I use this MCP server to create and update Trello cards?

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.

How does this compare to Trello's built-in butler automation?

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.

Can the Trello MCP integration read data from multiple boards across different workspaces?

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 — all through Improvado's hosted MCP server.

What is the data freshness of Trello data returned through the MCP integration?

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 — all through Improvado's hosted MCP server.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms