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PopNx MCPMCP servers for people who use AI · explained in plain words

trello-mcp

by avhnversion 1.0.6i★ –iRuns on your computer
Registry nameio.github.avhn/trello-mcp

Install

Overview

Description from the maker (original English)

Local Trello MCP with compact responses, workspace allowlists and read-only opt-in.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account avhn, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3545 servers in this category
  • Published to the registry more recently than 72% of the other 3545 servers in this category
  • Basic checks equal to or better than 100% of the other 3545 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is trello-mcp safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.6) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Runs on your computer★ 4,276MITUpdated 7 days ago
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Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

trello-mcp

Local Trello MCP server in Go. 48 tools, compact responses, guest boards.

16 cards in one list. Response text, characters. Lower is smaller.

77% less response text than the official server for this call (summary mode). Measured 2026-10-17 on one private work board with 144 cards; characters, not tokens. Full mode: 9,112 (69% fewer). For one card's details the official server returned less: 2,662 vs 2,825. All results and method.

Install

curl -fsSL https://raw.githubusercontent.com/avhn/trello-mcp/main/install.sh | sh

Windows: irm https://raw.githubusercontent.com/avhn/trello-mcp/main/install.ps1 | iex. Checksum-verified.

Or give your agent:

Set up trello-mcp by following https://raw.githubusercontent.com/avhn/trello-mcp/main/docs/setup.md; ask me to run its printed absolute-path auth command myself in a private terminal, then reconnect. Never capture authentication output.

Then: run the printed auth command yourself in a private terminal, register, reconnect. Clients and Claude Desktop: docs/setup.md.

Measured comparison

Measured response text. Chars; independent zero-based row scales.

Tool definitions. Claude tokens from /context, one session. Node not measured. Lower is smaller.

Claude Code /context in one session; rows over 1k display-rounded to 0.1k. Node could not be loaded into /context. Separately, tools/list: 20,583 vs 33,766 characters (39% fewer vs Node), not tokens.

Calltrello-mcpOfficialNode 1.8.1vs Officialvs Node
Boards list, per returned board (characters/board)1506228,68276% fewer98% fewer
16 cards, summary (characters)6,75429,14145,33577% fewer85% fewer
16 cards, full (characters)9,11229,14145,33569% fewer80% fewer
50 board actions (characters)15,49455,33171,00872% fewer78% fewer
One card's details (characters)2,8252,66216,3506% more83% fewer
Comments on that card, 2 comments (characters)5861,0893,23246% fewer82% fewer
Tool definitions (Claude tokens)8,107 (48 tools)19,664 (15 tools)Not measured59% fewern/a

One board, one day, one account. trello-mcp at commit cb40466 (v1.0.3); Atlassian hosted https://mcp.trello.com/v1 over OAuth, results captured verbatim from a headless Claude Code session; @delorenj/mcp-server-trello 1.8.1 via npx. Board list figures are characters per returned board over different sets (16 / 15 / 29; Node includes 13 closed boards; the extra trello-mcp board is a guest board in another organization). Card details and comments use one card with two comments. The board is private, so others cannot rerun on the same data. Official results reflect its hosted version on that date. Tool definitions are Claude tokens from /context; chars/4 would give about 5,146 for trello-mcp instead of 8,107.

Aggregate data. Method and harness. Percent fewer = round(100 * (1 - ours/theirs)); per-board values are rounded totals/count.

I use Trello with AI assistants a lot, so I built trello-mcp to make it lighter and easier to use.

A thought: with AI agents, managing context may be one of the main optimizations we need to make now. Every tool definition and response a model reads takes space from the actual task, and as context grows, output quality tends to drop.

Features checked 2026-10-17.

Featuretrello-mcpOfficialNode 1.8.1
RunsLocal binaryHosted, OAuthLocal, Node or Bun
Guest boardsYesNot reached in the owner's check, 2026-10-16Yes
Delete commentsYesNo: list, add, editYes
Create, update, delete labelsYesNo: list, attach, detachYes
AttachmentsUpload and download to disk, opt-in, UnixListing onlyAny local path upload, inline base64 download
Per-object workspace allowlistYesPer-workspace OAuth consentListing and some workspace operations
Server-side read-only modeYesn/a (hosted)Not documented

Choose official for zero install, web and mobile, Inbox, Planner or keyword search.

Read-oriented profile

Ten read tools (placement; board_use sets the local default board):

TRELLO_TOOLS=workspace_find,board_find,board_use,list_find,card_find,card_get,comment_find,checklist_get,checklist_items,server_health

Synthetic reference

Synthetic fixtures versus raw Trello JSON for the same objects, regenerated by go test ./internal/bench -update.

ScenarioRaw Trello JSONthis serverreduction
20 boards~2166~43380.0%
30 cards in a list~9266~296868.0%
20 comments~6739~431136.0%
50 board actions~11910~424864.3%
22 card actions~4888~136872.0%
Card with 20 comments~7404~446539.7%

Synthetic raw pretty JSON is a reproducible reference, not measured output from another MCP server. Tokens use chars/4.

Startup costDefault (48 tools)Read-oriented discovery (10 tools)
tools/list20694 chars (~5174 tokens)4400 chars (~1100 tokens)
Initialize instructions140 chars (~35 tokens)141 chars (~35 tokens)
Initialize result (including instructions)304 chars (~76 tokens)305 chars (~76 tokens)
Independent responseCharactersTokens (chars/4)
card_find summary (30 cards)11873~2968
card_find full (30 cards)15023~3756
board_activity all (50 actions)16994~4248
board_activity commentCard5835~1459
board_activity updateCard5476~1369

Docs

Setup · Configuration and security · Tools

License

GPL-3.0-or-later, copyright Mert Dede (MIT up to v0.5.0). Independent Go implementation of the delorenj/mcp-server-trello 1.8.1 (MIT) tool surface, not a runtime dependency. Trello is a trademark of Atlassian. trello-mcp is an independent project, not affiliated with or endorsed by Atlassian.

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