How to Use the GoTab MCP in Pydantic AI
Build type-safe restaurant agents with Pydantic AI that validate GoTab menu and order data at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GoTab MCP to Pydantic AI
Create your Vinkius account to connect GoTab 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.
Parse GoTab menus with Pydantic AI validation
The `get_menu` and `list_categories` tools return structured restaurant data that Pydantic AI validates against strict type definitions at runtime. If your agent tries to read a menu and receives malformed data, the framework fails loudly instead of letting your agent hallucinate. This type-safe approach ensures your digital menu boards always display exact prices and descriptions. Your agent calls `get_item` with complete confidence, knowing the returned fields match your Python schemas exactly.
Manage guest tabs using Pydantic AI
The `get_tab` and `list_tabs` tools let your agent audit open guest accounts without risking calculation errors. Pydantic AI enforces type checks on every currency field and item count returned by this MCP Server. Because the framework rejects unexpected API payloads, you never have to worry about an agent misinterpreting a tab balance. If a payment status field doesn't match your schema, the system catches it instantly.
Update item status with zero-trust validation
The `update_item_status` tool lets your agent toggle dish availability based on strict operational rules. Your agent checks current stock using `list_items` and updates the POS system only when all Pydantic validation checks pass. This direct integration prevents corrupted status updates from breaking your online ordering flow. The agent uses Pydantic AI's model-agnostic validation to ensure the status string matches your database expectations.
Set up GoTab 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"gotab-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to GoTab tools.",
)
result = await agent.run("List recent GoTab 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 GoTab. 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 GoTab MCP in Pydantic AI
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