How do I generate an API Access Token in ONES?

Log in to your ONES Management Console, navigate to [Settings] → [API Authentication], and click 'Create Token'. Make sure to copy it immediately as it will only be shown once.

Where can I find my Organization ID?

Your Organization ID (often a UUID) can be found in the URL of your ONES dashboard or in the [Organization Profile] section of the Management Console.

Can I update the status of a task through the agent?

Yes. Use the `update_task` tool and provide the task UUID and the new status UUID. You can find available status UUIDs by checking the project's workflow with `list_workflows`.

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

Name: ONES
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 ONES 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 ONES. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About ONES MCP Server

Empower your AI agent to orchestrate your R&D lifecycle with ONES, the leading enterprise project management platform. By connecting ONES to your agent, you transform complex issue tracking, requirement management, and workflow auditing into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse team members without you needing to navigate the comprehensive ONES dashboard. Whether you are following Scrum, Kanban, or Waterfall, your agent acts as a real-time R&D assistant, keeping your projects organized and your team aligned.

LlamaIndex agents combine ONES 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 projects and retrieve detailed information about your R&D workspace.
Task Operations — Create, update, and track tasks with full support for summaries, descriptions, and assignees.
Workflow Auditing — Browse project workflows and task types to understand your team's development process.
Team Coordination — List organization members to manage assignments and collaboration effectively.
Organization Insights — Retrieve high-level summaries of your ONES organization activity.

The ONES 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 ONES to LlamaIndex via MCP

Follow these steps to integrate the ONES 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 ONES

Why Use LlamaIndex with the ONES MCP Server

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

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

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

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

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

ONES + LlamaIndex Use Cases

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

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

Data enrichment: query ONES 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 ONES for fresh data

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

ONES MCP Tools for LlamaIndex (10)

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

create_task

Create a new ONES task

get_org_info

Get organization summary

get_project

Get project details

get_task_details

Get task details

list_members

List organization members

list_projects

List all ONES projects

list_task_types

g., bug, task, story). List task types

list_tasks

List tasks in a project

list_workflows

List project workflows

update_task

Update an existing ONES task

Example Prompts for ONES in LlamaIndex

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

"List all my active R&D projects on ONES."

"Create a new task in project 'Mobile SDK' titled 'Implement OAuth2 login'."

"Show me the recent activity summary for our organization."

Troubleshooting ONES MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ONES + LlamaIndex FAQ

Common questions about integrating ONES 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.