Local Trello MCP for Claude, Codex and ChatGPT: compact responses, workspace allowlists and read-only opt-in.
- ✓Open-source license (GPL-3.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Install pipes a remote script into a shell (curl | sh)
git clone https://github.com/avhn/trello-mcp{
"mcpServers": {
"trello-mcp": {
"command": "trello-mcp"
}
}
}Resumen de MCP Servers
<h1 align="center">trello-mcp</h1> <p align="center"> Local Trello MCP server in Go. 48 tools, compact responses, guest boards. </p> <p align="center"> <a href="https://github.com/avhn/trello-mcp/releases"><img alt="Release" src="https://img.shields.io/github/v/release/avhn/trello-mcp"></a> <a href="https://github.com/avhn/trello-mcp/actions/workflows/ci.yml"><img alt="CI" src="https://img.shields.io/github/actions/workflow/status/avhn/trello-mcp/ci.yml?branch=main&label=ci"></a> <a href="LICENSE"><img alt="License" src="https://img.shields.io/github/license/avhn/trello-mcp"></a> <a href="docs/setup.md"><img alt="MCP: stdio" src="https://img.shields.io/badge/MCP-stdio-000000?logo=modelcontextprotocol&logoColor=white"></a> </p> <!-- measured:start --> **16 cards in one list**. Response text, characters. Lower is smaller. <picture><source media="(prefers-color-scheme: dark)" srcset="site/assets/benchmark-cards-dark.svg"><img src="site/assets/benchmark-cards-light.svg" alt="16 cards in one list, response characters: trello-mcp 6,754, Official 29,141, Node 1.8.1 45,335" width="400"></picture> 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](#measured-comparison). <!-- measured:end --> ## 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](docs/setup.md). <!-- measured:start --> ## Measured comparison **Measured response text**. Chars; independent zero-based row scales. <picture><source media="(prefers-color-scheme: dark)" srcset="site/assets/benchmark-responses-dark.svg"><img src="site/assets/benchmark-responses-light.svg" alt="Five response comparisons; independent row scales" width="400"></picture> **Tool definitions**. Claude tokens from /context, one session. Node not measured. Lower is smaller. <picture><source media="(prefers-color-scheme: dark)" srcset="site/assets/benchmark-definitions-dark.svg"><img src="site/assets/benchmark-definitions-light.svg" alt="Claude definition tokens; Node unmeasured" width="400"></picture> 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. | Call | trello-mcp | Official | Node 1.8.1 | vs Official | vs Node | | --- | --- | --- | --- | --- | --- | | Boards list, per returned board (characters/board) | 150 | 622 | 8,682 | 76% fewer | 98% fewer | | 16 cards, summary (characters) | 6,754 | 29,141 | 45,335 | 77% fewer | 85% fewer | | 16 cards, full (characters) | 9,112 | 29,141 | 45,335 | 69% fewer | 80% fewer | | 50 board actions (characters) | 15,494 | 55,331 | 71,008 | 72% fewer | 78% fewer | | One card's details (characters) | 2,825 | 2,662 | 16,350 | 6% more | 83% fewer | | Comments on that card, 2 comments (characters) | 586 | 1,089 | 3,232 | 46% fewer | 82% fewer | | Tool definitions (Claude tokens) | 8,107 (48 tools) | 19,664 (15 tools) | Not measured | 59% fewer | n/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](docs/benchmarks/2026-10-17.json). 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. | Feature | trello-mcp | [Official](https://github.com/atlassian/trello-mcp-server) | [Node 1.8.1](https://github.com/delorenj/mcp-server-trello/blob/v1.8.1/src/index.ts) | | --- | --- | --- | --- | | Runs | Local binary | Hosted, OAuth | Local, Node or Bun | | Guest boards | Yes | Not reached in the owner's check, 2026-10-16 | Yes | | Delete comments | Yes | No: list, add, edit | Yes | | Create, update, delete labels | Yes | No: list, attach, detach | Yes | | Attachments | Upload and download to disk, opt-in, Unix | Listing only | Any local path upload, inline base64 download | | Per-object workspace allowlist | Yes | Per-workspace OAuth consent | Listing and some workspace operations | | Server-side read-only mode | Yes | n/a (hosted) | Not documented | Choose official for zero install, web and mobile, Inbox, Planner or keyword search. <!-- measured:end --> ## Read-oriented profile Ten read tools ([placement](docs/setup.md#optional-read-oriented-profile); `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`. <!-- bench:start --> | Scenario | Raw Trello JSON | this server | reduction | | --- | --- | --- | --- | | 20 boards | ~2166 | ~433 | 80.0% | | 30 cards in a list | ~9266 | ~2968 | 68.0% | | 20 comments | ~6739 | ~4311 | 36.0% | | 50 board actions | ~11910 | ~4248 | 64.3% | | 22 card actions | ~4888 | ~1368 | 72.0% | | Card with 20 comments | ~7404 | ~4465 | 39.7% | Synthetic raw pretty JSON is a reproducible reference, not measured output from another MCP server. Tokens use chars/4. | Startup cost | Default (48 tools) | Read-oriented discovery (10 tools) | | --- | --- | --- | | tools/list | 20694 chars (~5174 tokens) | 4400 chars (~1100 tokens) | | Initialize instructions | 140 chars (~35 tokens) | 141 chars (~35 tokens) | | Initialize result (including instructions) | 304 chars (~76 tokens) | 305 chars (~76 tokens) | | Independent response | Characters | Tokens (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 commentCard | 5835 | ~1459 | | board_activity updateCard | 5476 | ~1369 | <!-- bench:end --> ## Docs [Setup](docs/setup.md) · [Configuration and security](docs/configuration.md) · [Tools](docs/tools.md) ## License [GPL-3.0-or-later](LICENSE), copyright Mert Dede (MIT up to v0.5.0). Independent Go implementation of the [delorenj/mcp-server-trello](https://github.com/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.
Lo que la gente pregunta sobre trello-mcp
¿Qué es avhn/trello-mcp?
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avhn/trello-mcp es mcp servers para el ecosistema de Claude AI. Local Trello MCP for Claude, Codex and ChatGPT: compact responses, workspace allowlists and read-only opt-in. Tiene 5 estrellas en GitHub y su última actualización registrada es del 2026-10-17.
¿Cómo se instala trello-mcp?
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Puedes instalar trello-mcp clonando el repositorio (https://github.com/avhn/trello-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar avhn/trello-mcp?
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Nuestro agente de seguridad ha analizado avhn/trello-mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene avhn/trello-mcp?
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avhn/trello-mcp es mantenido por avhn. La última actividad registrada en GitHub es del 2026-10-17, con 0 issues abiertos.
¿Hay alternativas a trello-mcp?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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