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Infinity MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create Board Item, Get Current User Profile, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Infinity 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 for Pydantic AI

The Infinity MCP Server for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Infinity
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 MCP Server

Connect your Infinity account to any AI agent and manage projects through natural conversation.

Pydantic AI validates every Infinity tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

  • Workspace Management — List all workspaces in your organization
  • Board Navigation — Browse boards within workspaces and inspect their structure
  • Folder Organization — Navigate folder hierarchies within boards
  • Attribute Schema — View all custom attributes and fields configured on boards
  • Item Management — List, create, update, and delete items (tasks/records) within boards
  • Data Access — Read item field values and metadata

The Infinity MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Infinity tools available for Pydantic AI

When Pydantic AI connects to Infinity through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, workspace-organization, custom-attributes, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check api health on Infinity

Verify Infinity API connectivity

create

Create board item on Infinity

Values must map to attribute IDs. Add a new item to a board

get

Get current user profile on Infinity

Get authenticated user info

list

List board attributes on Infinity

List board attributes (fields)

list

List board folders on Infinity

List folders in a board

list

List board items on Infinity

Supports filtering by folder. List all tasks/items in a board

list

List board webhooks on Infinity

List active webhooks for a board

list

List item comments on Infinity

List comments on an item

list

List workspace boards on Infinity

List boards in a workspace

list

List workspaces on Infinity

List all workspaces

remove

Remove board item on Infinity

Delete an item from a board

update

Update board item on Infinity

Modify an existing item

Connect Infinity to Pydantic AI via MCP

Follow these steps to wire Infinity into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 12 tools from Infinity with type-safe schemas

Why Use Pydantic AI with the Infinity MCP Server

Pydantic AI provides unique advantages when paired with Infinity 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 Infinity 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 Infinity connection logic from agent behavior for testable, maintainable code

Infinity + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Infinity in Pydantic AI

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

01

"Show all workspaces and the boards in the 'Product Development' workspace."

02

"Create a new task in the Sprint Board and list all items with 'In Progress' status."

03

"Show the attributes on the Bug Tracker board and the folder structure."

Troubleshooting Infinity MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Infinity + Pydantic AI FAQ

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

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