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How to Use the Yodiz MCP in Pydantic AI

Ensure correct Yodiz data extraction using Pydantic AI.

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Pydantic AI

Connect Yodiz MCP to Pydantic AI

Create your Vinkius account to connect Yodiz 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.

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List projects safely with the MCP Server

The `list_projects` tool gives your agent a list of every agile project in your Yodiz account. Because you're using Pydantic, the output structure is guaranteed to be correct. From that pool of IDs, you can run `list_sprints` to check all iterations for any given project ID.

Retrieving user stories via Pydantic AI

Use `list_user_stories` when you have the numeric Project ID. The tool retrieves detailed user story information, and your agent's types ensure that data is perfectly structured. If you need to see associated problems, run `list_bugs` for the same project ID to get a validated list of all reported issues.

Checking system users and epics with Pydantic AI

The `list_users` tool gets you every registered user in your Yodiz workspace. The agent knows it's receiving clean, validated data. Want to see the big picture? Use `list_epics` which shows high-level feature groupings for a specific project.

Setup guide

Set up Yodiz MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "yodiz-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Yodiz. 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.

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Common questions about Yodiz MCP in Pydantic AI

Just call the `list_projects` tool. It provides a clean, validated list of every agile project in your account. The data structure is solid.
This server handles structured records including Projects, User Stories, Bugs, Users, and Epics. Your agent reads these typesafe structures but doesn't alter the core user data.
Yes, `list_users` handles that request. It pulls a comprehensive roster of every registered account within your Yodiz workspace.
Use the `list_sprints` tool, making sure to pass in the specific Project ID. It returns all current and past sprint iterations.
Use `list_bugs`. You need to supply a Project ID, and the tool will return all reported issues. The response is guaranteed to match your expected schema.

Start using the Yodiz MCP today

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