trello-mcp

io.github.avhn由 GitHub 帳號 avhn 發布v1.0.6更新於 Oct 29, 2026

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

已驗證STDIO僅桌面效率與工作流開發者工具

概覽

AI 產生的概覽

以 Go 撰寫的本地 Trello MCP 伺服器,提供 48 個工具,讓助理以精簡回應讀取與管理看板、清單、卡片、留言、檢查清單與標籤。

可以做什麼
  • 尋找並使用工作區與看板(含訪客看板),設定預設看板
  • 尋找清單與卡片,讀取卡片詳情、留言、檢查清單及項目
  • 讀取看板活動與操作紀錄
  • 建立、更新與刪除卡片、留言、檢查清單與標籤
  • 依需求將附件上傳至磁碟或從磁碟下載(僅 Unix)
  • 啟用僅含十個讀取工具的唯讀型設定,並檢查伺服器健康狀態
適用情境
適合希望助理在本機操作 Trello 看板、同時控制上下文佔用的情況,尤其是看板較大、對回應大小敏感時;也適合需要伺服器端唯讀模式或依物件設定工作區允許清單的場合。
執行需求
以本機執行檔形式運作,透過提供的安裝腳本安裝(Windows 使用 PowerShell 腳本);僅限桌面端,使用 stdio 傳輸。需在私人終端機自行執行列印出的 auth 指令完成 Trello 驗證,然後註冊並重新連線。清單中未宣告任何環境變數或標頭。
安裝前請注意
伺服器可建立、更新與刪除卡片、留言及標籤,未啟用唯讀模式時有寫入風險。附件可上傳至磁碟或從磁碟下載。驗證輸出不應被擷取,請自行在私人終端機執行 auth 指令。工作區允許清單可限制可存取的物件範圍。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 trello-mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[圖片]
trello-mcp

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

[Release] [CI] [License] [MCP: stdio]

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

[16 cards in one list, response characters: trello-mcp 6,754, Official 29,141, Node 1.8.1 45,335]

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

sh
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:

text
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.

[Five response comparisons; independent row scales]

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

[Claude definition tokens; Node unmeasured]

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):

text
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.

來源:README.md,提交 302e87b

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

6
  1. v1.0.6最新Oct 29, 2026
  2. v1.0.5Oct 22, 2026
  3. v1.0.4Oct 18, 2026
  4. v1.0.3Oct 17, 2026
  5. v1.0.2Oct 16, 2026
  6. v1.0.1Oct 16, 2026

評分

已滿足適用檢查項的 50%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通25 分

    請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。

  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。

  • 已列出工具15 分

    請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。

  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
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