How to Use the GSA Per Diem Rates MCP in Pydantic AI
Validate federal travel and lodging rates at runtime using Pydantic AI to guarantee compliance.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GSA Per Diem Rates MCP to Pydantic AI
Create your Vinkius account to connect GSA Per Diem Rates 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.
Enforce type-safe lodging lookups in Pydantic AI.
The `get_conus_lodging` tool pulls standard continental United States lodging rates for a specific fiscal year. Because this runs through Pydantic AI, the returned rate data is strictly validated against Python type models at runtime. If the external API returns an unexpected data type or missing fields, the framework raises a validation error immediately. This prevents your agent from passing corrupt or incomplete rate data to your accounting software.
Verify city-specific rates with strict schemas.
The `get_rates_by_city` tool fetches lodging and meal limits using a city name and state abbreviation. Your agent processes these inputs and guarantees that the response matches your exact database schema before proceeding. This MCP Server integration prevents silent failures when querying locations with ambiguous names. If a city name matches multiple regions, the validation layer forces the agent to resolve the ambiguity rather than guessing.
Audit meal breakdowns with absolute accuracy.
The `get_mie_breakdown` tool provides the exact breakfast, lunch, and dinner allocations for a given year. This MCP tool is used by your agent to verify individual meal receipts against the official federal maximums. Pydantic AI ensures that every numeric value in the breakdown is parsed as a precise decimal or integer. This eliminates rounding errors that often occur when agents handle raw JSON strings, keeping your financial audits accurate.
Set up GSA Per Diem Rates 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": {
"gsa-per-diem-rates-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to GSA Per Diem Rates tools.",
)
result = await agent.run("List recent GSA Per Diem Rates 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 GSA. 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 GSA Per Diem Rates MCP in Pydantic AI
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