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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Trello as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Trello. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Trello
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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.

LlamaIndex agents combine Trello tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Trello MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Trello

Why Use LlamaIndex with the Trello MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Trello tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Trello tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Trello, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Trello tools were called, what data was returned, and how it influenced the final answer

Trello + LlamaIndex Use Cases

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

01

Hybrid search: combine Trello real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Trello to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Trello for fresh data

04

Analytical workflows: chain Trello queries with LlamaIndex's data connectors to build multi-source analytical reports

Trello MCP Tools for LlamaIndex (10)

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

01

create_card

Create a new Trello card

02

delete_card

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

03

get_board

Get details for a specific Trello board

04

get_card

Get details for a specific Trello card

05

get_me

Get current Trello user details

06

list_boards

List Trello boards for the user

07

list_cards

List cards in a specific Trello list

08

list_lists

List lists (columns) in a Trello board

09

list_members

List members of a Trello board

10

update_card

Update an existing Trello card

Example Prompts for Trello in LlamaIndex

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

01

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

02

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

03

"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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Trello + LlamaIndex FAQ

Common questions about integrating Trello MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Trello tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Trello to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.