Can my AI automatically gather details of a specific card by its ID?

Yes! Use the `get_card` tool with exactly the Card ID. Your agent will respond with complete metadata, assignee fields, standard labels, and precise notes within seconds.

How do I move a card from 'To Do' to 'Done' seamlessly?

Simply ask the agent to run the `move_card` command. Providing the Card ID and the destination List ID (often found with `list_lists` first). It will transition your task across phases transparently.

Does the integration allow completely destructive operations like deleting my entire board?

No. The agent is limited to safe mutations related to Cards—creating, updating, and removing cards. It does not contain tools to delete large configurations like Boards or Columns, protecting your company’s structure.

Trello MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Trello
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Trello through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Trello "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Trello?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Trello MCP Server

Connect your Trello organizational account to any AI agent and take full control of your agile project management workflows through natural conversation.

Pydantic AI validates every Trello tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Boards & Lists — Fetch all your active boards and inspect the lists (columns) organizing your workflow directly from the Trello cloud
Card Management — Query all cards from any target list or search across the board using unique IDs
Deep Card Inspection — Fetch complete metadata, descriptions, assignee fields, due dates, and exact status metrics for specific individual cards
Workflow Automation — Create new cards on the fly, update existing ones, or easily move them between lists inside your agent
User Profiling — Retrieve the underlying credentials and profile information for your Trello workspace members

The Trello MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Trello to Pydantic AI via MCP

Follow these steps to integrate the Trello MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Trello with type-safe schemas

Why Use Pydantic AI with the Trello MCP Server

Pydantic AI provides unique advantages when paired with Trello through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Trello integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Trello connection logic from agent behavior for testable, maintainable code

Trello + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Trello MCP Server delivers measurable value.

Type-safe data pipelines: query Trello with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Trello tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Trello and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Trello responses and write comprehensive agent tests

Trello MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Trello to Pydantic AI via MCP:

create_card

Create a new Trello card

delete_card

Prefer updating closed to true for archiving instead. Permanently delete a Trello card

get_board

Get details for a specific Trello board

get_card

Get details for a specific Trello card

get_me

Get current Trello user details

list_boards

List Trello boards for the user

list_cards

List cards in a specific Trello list

list_lists

List lists (columns) in a Trello board

list_members

List members of a Trello board

update_card

Update an existing Trello card

Example Prompts for Trello in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Trello immediately.

"List all the boards under my Trello account right now."

"Can you check the cards currently inside the 'To Do' list ID 618ab221?"

"Create a new board card called 'Verify Webhooks' with the description 'Check timeout limits under high load' on list 618ab221."

Troubleshooting Trello MCP Server with Pydantic AI

Common issues when connecting Trello to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Trello + Pydantic AI FAQ

Common questions about integrating Trello MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Trello MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.