Worktile MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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 Worktile integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Worktile with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Worktile tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Worktile and output structured, schema-compliant notifications
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:
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Worktile to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWorktile + Pydantic AI FAQ
Common questions about integrating Worktile MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Worktile with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Worktile to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
