How to Use the zipBoard MCP in Pydantic AI

Q: How do I list all my projects using zipBoard and Pydantic AI?

You use the listprojects tool. Since everything is validated at runtime, you get a guaranteed structure containing every available project identifier.

Q: What's the process for creating tasks with zipBoard and Pydantic AI?

The agent calls createtask. The key here is that if the API returns unexpected data, the Pydantic layer fails loudly. It ensures every task record created is correct.

Q: If I need to start a new initiative, how do I use zipBoard and Pydantic AI?

Use createproject. Providing data as a JSON string means that the agent must pass the structure through validation before it's committed to zipBoard.

Manage projects and bug tracking with Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect zipBoard MCP to Pydantic AI

Create your Vinkius account to connect zipBoard to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup zipBoard with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Creating Project Structures

The `list_projects` tool gives your agent a clear, type-safe list of all existing zipBoard projects. It prevents the agent from trying to work with non-existent IDs. To start fresh, call `create_project`. The JSON data input guarantees that your agent defines the project scope using correctly validated fields.

Handling Tasks and Issues

When you need to see what's going on, the `list_tasks` tool retrieves all current issues for a given project. This data is immediately validated against your Pydantic models. Use `create_task` when logging an issue. The framework ensures that every piece of data—title, status, etc.—adheres to its defined schema before it hits zipBoard.

Mapping Project Resources

The `list_files` tool pulls file URLs from a project. This process validates the returned list structure, giving your agent reliable data on what resources are available. If you need high-level context, running `get_organization` fetches core account details, and the results pass strict type checking.

Setup guide

Set up zipBoard MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "zipboard-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to zipBoard tools.",
)

result = await agent.run("List recent zipBoard transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by zipBoard. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect zipBoard now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about zipBoard MCP in Pydantic AI

You use the `list_projects` tool. Since everything is validated at runtime, you get a guaranteed structure containing every available project identifier.

The agent calls `create_task`. The key here is that if the API returns unexpected data, the Pydantic layer fails loudly. It ensures every task record created is correct.

This server handles project metadata, including tasks/issues, file URLs, and organization details. The agent treats all these inputs as strictly typed Python objects.

Yes, it does. It lists project files/URLs, and because of runtime validation, your agent knows exactly what format to expect for every single file path.

Use `create_project`. Providing data as a JSON string means that the agent must pass the structure through validation before it's committed to zipBoard.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript