CAT
/MCP
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Cross AI Tools

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Trello

scaratec/trellio-mcp
authSTDIOregistry active
Summary

Connects Claude or Gemini directly to the Trello API through 48 tools that map to boards, lists, cards, checklists, attachments, webhooks, and comments. Built on the trellio async client library with stdio transport, so it runs as a local subprocess with no network exposure. Ships with three workflow prompts for sprint planning and standups, plus resource templates for loading board and card context. Auth is handled through an interactive browser flow that stores credentials locally. Reach for this when you want to manage Trello projects conversationally or automate board operations without switching to the web UI. The 970 passing BDD test steps suggest solid coverage of the Trello API surface area.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →

trellio-mcp — MCP Server for Trello

License: GPL v3 Python 3.10+ MCP

An MCP server that gives Claude Desktop, Claude Code, and Gemini CLI full access to the Trello API. Built on the trellio async client library and the official Python MCP SDK. Developed following the BDD Guidelines v1.8.0.

Features

  • 48 MCP tools — 1:1 mapping to trellio methods, plus one composite get_board_overview tool
  • 2 resource templates — trello://board/{id} and trello://card/{id} for rich context loading
  • 3 prompts — summarize_board, create_sprint, daily_standup as workflow shortcuts
  • Built-in auth flow — python -m trello_mcp auth opens the browser, user clicks "Allow", token stored securely
  • Structured error handling — Trello API errors are translated into clear, actionable MCP error messages
  • stdio transport — runs as a local subprocess, no network surface

Tools

CategoryToolsCount
Discoverylist_boards, search2
Boardsget_board_overview, create_board, get_board, update_board, delete_board5
Listslist_lists, create_list, update_list, archive_list4
Cardslist_cards, create_card, get_card, update_card, archive_card, unarchive_card, delete_card, add_label_to_card, remove_label_from_card9
Labelslist_board_labels, create_label, update_label, delete_label4
Checklistslist_card_checklists, create_checklist, delete_checklist, create_check_item, update_check_item, delete_check_item6
Commentslist_comments, add_comment, update_comment, delete_comment4
Membersget_me, list_board_members, get_member3
Attachmentslist_attachments, create_attachment, get_attachment, upload_attachment, download_attachment, delete_attachment6
Webhookslist_webhooks, create_webhook, get_webhook, update_webhook, delete_webhook5

Card tools support pos (top/bottom), idLabels (comma-separated), due (ISO 8601), and dueComplete (true/false) on create and update.

Prerequisites

  • Python 3.10+
  • A Trello API Key (add http://localhost:8095 to Allowed Origins)

Installation

Smithery

smithery badge

npx @smithery/cli install gupta/trellio-mcp --client claude

Using pipx (recommended)

To install globally so the trellio-mcp command is available in your PATH:

pipx install trellio-mcp

Alternatively, you can run it on-the-fly without installing:

pipx run trellio-mcp

(Note: If you use pipx run, your MCP client configuration must also use pipx as the command and run trellio-mcp as arguments.)

Using pip

pip install trellio-mcp

From source

git clone https://github.com/scaratec/trellio-mcp.git
cd trellio-mcp
python3 -m venv .venv
.venv/bin/pip install -e ".[dev]"

Authentication

Interactive (recommended)

Run the auth command on each machine to connect your Trello account:

If you installed globally (pipx install or pip install):

TRELLO_API_KEY=your_api_key trellio-mcp auth

If using on-the-fly execution (pipx run):

TRELLO_API_KEY=your_api_key pipx run trellio-mcp auth

This opens a browser where you authorize the app. The token is captured automatically and stored in ~/.config/trellio-mcp/credentials.json (permissions 0600).

After auth, no environment variables are needed — the server reads stored credentials on startup.

Environment Variables (fallback)

If no stored credentials are found, the server falls back to environment variables:

export TRELLO_API_KEY=your_api_key
export TRELLO_TOKEN=your_token

MCP Client Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "trello": {
      "command": "pipx",
      "args": ["run", "trellio-mcp"]
    }
  }
}

If using env var auth instead of stored credentials, add:

"env": {
  "TRELLO_API_KEY": "your_api_key",
  "TRELLO_TOKEN": "your_token"
}

Claude Code

Add to ~/.claude/settings.json or project .claude/settings.json:

{
  "mcpServers": {
    "trello": {
      "command": "pipx",
      "args": ["run", "trellio-mcp"]
    }
  }
}

Gemini CLI

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "trello": {
      "command": "pipx",
      "args": ["run", "trellio-mcp"]
    }
  }
}

Architecture

MCP Client (Claude / Gemini)
    │ stdio (JSON-RPC)
    ▼
trellio-mcp (FastMCP)
    │ async/await
    ▼
trellio (httpx)
    │ HTTPS
    ▼
Trello API

Key decisions (documented in docs/adr/):

ADRDecision
001Python MCP SDK for language alignment with trellio
002stdio transport — no network attack surface
003Stored credentials with env var fallback
0041:1 tool mapping — one tool per trellio method
005trellio as PyPI dependency (>=1.4.0)
006Tools + Resources + Prompts as MCP capabilities
007isError=true + structured error content

Testing

The project uses BDD with behave, following the BDD Guidelines v1.8.0.

PYTHONPATH=src .venv/bin/python -m behave
17 features passed, 0 failed, 0 skipped
163 scenarios passed, 0 failed, 0 skipped
970 steps passed, 0 failed, 0 skipped

Test architecture:

  • AsyncMock(spec=TrellioClient) — mock at the client boundary, not HTTP
  • Persistence validation via mock call records (§4.3)
  • Anti-hardcoding via Scenario Outlines with >= 2 variants (§2.3)
  • Layer-by-layer failure path enumeration (§4.5)
  • Independent spec audit per §13

See Case Study for a detailed account of the BDD-driven development process.

Project Structure

trellio-mcp/
├── src/trello_mcp/
│   ├── __init__.py        # Tool registration
│   ├── __main__.py        # Entry point (server + auth)
│   ├── server.py          # FastMCP instance + client mgmt
│   ├── auth.py            # OAuth flow + credential storage
│   ├── errors.py          # Error translation (ADR 007)
│   ├── tools/             # 10 modules, 48 tools
│   ├── resources.py       # 2 resource templates
│   └── prompts.py         # 3 prompts
├── features/              # 17 BDD feature files
│   └── steps/             # Step definitions
├── docs/
│   ├── adr/               # 7 Architecture Decision Records
│   ├── tool-design.md     # Scenario-driven tool analysis
│   └── case-study-bdd-mcp-server.md
└── pyproject.toml

Publishing

PyPI

uv build
twine upload dist/trellio_mcp-<version>*

Smithery

Namespace is gupta. Update the release after a new PyPI version:

npx @smithery/cli mcp publish "https://github.com/scaratec/trellio-mcp" -n gupta/trellio-mcp

Also update the pinned version in smithery.yaml commandFunction.

License

This project is licensed under the GNU General Public License v3.0 — see the LICENSE file for details.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →

Configuration

TRELLO_API_KEY*secret

Trello API Key (from https://trello.com/power-ups/admin)

TRELLO_TOKEN*secret

Trello API Token

Categories
AI & LLM ToolsProductivity & Office
Registryactive
Packagetrellio-mcp
TransportSTDIO
AuthRequired
UpdatedApr 17, 2026
View on GitHub

Related AI & LLM Tools MCP Servers

View all →
SkillFM LLM Cost Optimizer

io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage

LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
1
Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f