How do I get my Infinity Access Token?

Log in to Infinity, go to Profile > Developer Features, enable developer mode, and generate an Access Token in the Developer section.

Can I create items with custom attributes?

Yes! Use the create_item action with a JSON body that includes the item name and attribute values matching your board configuration.

Can I add comments to items?

Yes! Use the create_comment action with the workspace, board, and item IDs along with the comment content.

Can I manage multiple workspaces?

Yes! You can list all your accessible workspaces and manage boards, folders, and items within each specific workspace.

Infinity Work Manager MCP Server for Pydantic AI 15 tools — connect in under 2 minutes

Name: Infinity Work Manager
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 15 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Infinity Work Manager 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 Infinity Work Manager "
            "(15 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Infinity Work Manager?"
    )
    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 Infinity Work Manager MCP Server

Connect Infinity to any AI agent and manage your work management platform — create and update items, manage boards, add comments, organize folders, and track project progress through natural conversation.

Pydantic AI validates every Infinity Work Manager tool response against typed schemas, catching data inconsistencies at build time. Connect 15 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

Workspaces & Boards — List and create workspaces and boards for organizing work
Item Management — Create, update, and delete items with custom attribute values
Comments — Add and retrieve comments on any item for collaboration
Folders — Organize items into folders within boards
Attributes — View board attribute configurations for custom fields
Profile — Get authenticated user profile information

The Infinity Work Manager MCP Server exposes 15 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 Infinity Work Manager to Pydantic AI via MCP

Follow these steps to integrate the Infinity Work Manager 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 15 tools from Infinity Work Manager with type-safe schemas

Why Use Pydantic AI with the Infinity Work Manager MCP Server

Pydantic AI provides unique advantages when paired with Infinity Work Manager 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 Infinity Work Manager integration code

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

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

Infinity Work Manager + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Infinity Work Manager MCP Server delivers measurable value.

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

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

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

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

Infinity Work Manager MCP Tools for Pydantic AI (15)

These 15 tools become available when you connect Infinity Work Manager to Pydantic AI via MCP:

create_board

Body should include name and optional settings. Create a new board in a workspace

create_comment

Body should include content. Add a comment to an item

create_folder

Create a new folder in a board

create_item

Body should include name and attribute values. Create a new item in a board

delete_item

Delete an item from a board

get_board

Get details of a specific board

get_item

Get details of a specific item

get_profile

Use this to verify connection and identify your user ID. Get the authenticated user profile

list_attributes

List attributes configured on a board

list_boards

Use board IDs to query items, folders, and attributes. List all boards in a workspace

list_comments

List comments on an item

list_folders

List folders in a board

list_items

Supports pagination via cursor. List all items in a board

list_workspaces

Use workspace IDs to query boards and items within specific workspaces. List all workspaces accessible to the user

update_item

Update an existing item in a board

Example Prompts for Infinity Work Manager in Pydantic AI

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

"Show me all workspaces I have access to."

"List all items in board 123 of workspace 456."

"Create a new item called 'Sprint Planning' in board 123 with status 'In Progress'."

Troubleshooting Infinity Work Manager MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Infinity Work Manager + Pydantic AI FAQ

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