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

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Worktile through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 Worktile "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Worktile
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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.

Pydantic AI validates every Worktile 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 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 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 Worktile to Pydantic AI via MCP

Follow these steps to integrate the Worktile MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

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 Worktile with type-safe schemas

Why Use Pydantic AI with the Worktile MCP Server

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Worktile integration code

03

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

04

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

Worktile + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Worktile MCP Tools for Pydantic AI (10)

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

01

create_task

Create a new Worktile task

02

get_project

Get project details

03

get_team_info

Get team details

04

list_channels

List message channels

05

list_members

List organization members

06

list_projects

List all Worktile agile projects

07

list_task_states

List task states for a project

08

list_tasks

List tasks in a project

09

send_message

Send message to channel

10

update_task

Update an existing Worktile task

Example Prompts for Worktile in Pydantic AI

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

01

"List all my active projects on Worktile."

02

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

03

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

Troubleshooting Worktile MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Worktile + Pydantic AI FAQ

Common questions about integrating Worktile MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Worktile MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Worktile to Pydantic AI

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