How do I find my Worktile Client ID and Secret?

Log in to the Worktile Admin Console, go to [App Management] → [My Apps], and create a new application. Your Client ID and Client Secret will be generated there.

Can I send messages to private channels?

Yes, as long as the application has the necessary permissions and the authorized account is a member of the private channel, you can use the `send_message` tool.

How do I find the correct state ID to update a task?

Use the `list_task_states` tool with the project ID. It will return all available statuses (like 'Todo', 'In Progress', 'Done') along with their corresponding IDs.

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

Name: Worktile
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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 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 Worktile. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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 Worktile MCP Server

Empower your AI agent to orchestrate your team's collaboration with Worktile, the leading project management and team communication suite. By connecting Worktile to your agent, you transform complex task tracking, project planning, and channel communication into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even send messages to your team channels without you ever needing to navigate the Worktile web or mobile interface. Whether you are managing an agile development team or a cross-functional department, your agent acts as a real-time operations assistant, keeping your workspace organized and your communication flowing.

LlamaIndex agents combine Worktile 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

Project Management — List all accessible agile projects and retrieve detailed information about your workspace.
Task Operations — Create, update, and track tasks with full support for descriptions, assignees, and state changes.
Workflow Customization — Browse project-specific task states to understand exactly where each item sits in your process.
Team Communication — List message channels and send instant updates to your team directly through the chat interface.
Organization Overview — Retrieve information about your team members and overall organization structure.

The Worktile 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 Worktile to LlamaIndex via MCP

Follow these steps to integrate the Worktile 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 Worktile

Why Use LlamaIndex with the Worktile MCP Server

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

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

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

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

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

Worktile + LlamaIndex Use Cases

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

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

Data enrichment: query Worktile 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 Worktile for fresh data

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

Worktile MCP Tools for LlamaIndex (10)

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

create_task

Create a new Worktile task

get_project

Get project details

get_team_info

Get team details

list_channels

List message channels

list_members

List organization members

list_projects

List all Worktile agile projects

list_task_states

List task states for a project

list_tasks

List tasks in a project

send_message

Send message to channel

update_task

Update an existing Worktile task

Example Prompts for Worktile in LlamaIndex

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

"List all my active projects on Worktile."

"Create a task in project 'Marketing Q3' titled 'Finalize social media assets'."

"Post an update to the 'General' channel saying 'The project kickoff has been moved to 2 PM'."

Troubleshooting Worktile MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Worktile + LlamaIndex FAQ

Common questions about integrating Worktile MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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