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ClaudeWave

Local Trello MCP for Claude, Codex and ChatGPT: compact responses, workspace allowlists and read-only opt-in.

MCP ServersOfficial Registry5 stars0 forks● GoGPL-3.0Updated today
ClaudeWave Trust Score
87/100
✓ Trusted
Passed
  • ✓Open-source license (GPL-3.0)
  • ✓Actively maintained (<30d)
  • ✓Clear description
  • ✓Topics declared
  • ✓Documented (README)
Flags
  • !Install pipes a remote script into a shell (curl | sh)
Last scanned: 10/17/2026
Install in Claude Code / Claude Desktop
Method: Manual · trello-mcp
Claude Code CLI
git clone https://github.com/avhn/trello-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "trello-mcp": {
      "command": "trello-mcp"
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install the binary first: go install github.com/avhn/trello-mcp@latest (make sure it ends up on your PATH).
Use cases

MCP Servers overview

<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.
ai-agentschatgptclaudeclaude-codecodexgolangmcpmcp-servermodel-context-protocolproductivitytrellotrello-apitrello-mcp

What people ask about trello-mcp

What is avhn/trello-mcp?

+

avhn/trello-mcp is mcp servers for the Claude AI ecosystem. Local Trello MCP for Claude, Codex and ChatGPT: compact responses, workspace allowlists and read-only opt-in. It has 5 GitHub stars and its last recorded update is dated 2026-10-17.

How do I install trello-mcp?

+

You can install trello-mcp by cloning the repository (https://github.com/avhn/trello-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is avhn/trello-mcp safe to use?

+

Our security agent has analyzed avhn/trello-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains avhn/trello-mcp?

+

avhn/trello-mcp is maintained by avhn. The last recorded GitHub activity is dated 2026-10-17, with 0 open issues.

Are there alternatives to trello-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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