Trello MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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())
* 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.
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.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Trello MCP Server
LlamaIndex provides unique advantages when paired with Trello through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Trello tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Trello tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Trello, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Trello real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Trello to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Trello for fresh data
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:
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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Trello to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTrello + LlamaIndex FAQ
Common questions about integrating Trello MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Trello with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Trello to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
