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How to Use the VWO MCP in Pydantic AI

Validate VWO data structures reliably with Pydantic AI for guaranteed correctness.

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Pydantic AI

Connect VWO MCP to Pydantic AI

Create your Vinkius account to connect VWO 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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Safely Toggle VWO Feature Flags with Pydantic AI

The agent uses `toggle_feature_flag` to enforce state changes, ensuring the feature ID and boolean status are correct. If the API returns unexpected data, your agent fails loudly. You can verify what you're about to change using `get_feature_flag_details`.

Audit VWO Account Information via MCP Server

Run `get_vwo_account_info`. This gives a type-safe view of the entire connected VWO account. Your agent validates that all necessary fields (like user IDs or permissions) are present. It's a critical check before any deployment action.

Discover All VWO Assets in Pydantic AI

Need to audit everything? Use `list_optimization_campaigns` and `list_conversion_goals`. Both tools give lists of assets—A/B tests or goals—and the response is guaranteed to match your defined Python model. You can also call `list_audience_segments` for user groupings.

Setup guide

Set up VWO 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": {
        "vwo-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent VWO 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 VWO. 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 VWO MCP in Pydantic AI

Use `get_campaign_results`. The response is validated against your schema, so you never have to worry about getting a corrupted or unexpected field from the VWO campaign metrics.
Yes. `list_feature_flags` pulls every flag, and because of Pydantic's runtime validation, you know the structure of that list is perfect before your agent uses it.
The `list_vwo_environments` tool tells you all configured deployment stages. Your agent validates this list to ensure the correct environment is targeted for changes.
Calling `get_vwo_account_info` returns validated, typed data. If VWO sends an unexpected structure, your agent fails immediately instead of proceeding with bad assumptions.
This server touches `VWO conversion goals` and related metrics. The type-safe validation ensures that the structure of this sensitive operational data remains correct.

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