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 Pydantic AI 10 tools — connect in under 2 minutes

Name: ONES
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 ONES 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 ONES "
            "(10 tools)."
        ),
    )

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

Pydantic AI validates every ONES 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

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 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 ONES to Pydantic AI via MCP

Follow these steps to integrate the ONES 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 ONES with type-safe schemas

Why Use Pydantic AI with the ONES MCP Server

Pydantic AI provides unique advantages when paired with ONES 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 ONES integration code

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

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

ONES + Pydantic AI Use Cases

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

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

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

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

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

ONES MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect ONES to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ONES + Pydantic AI FAQ

Common questions about integrating ONES 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 ONES MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.