How to Use the Lamha MCP in Pydantic AI
Enforce strict typing on Lamha's MCP logistics tools using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lamha MCP to Pydantic AI
Create your Vinkius account to connect Lamha 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.
Validate logistics data in Pydantic AI
Lamha equips your agent with `get_order` and `list_orders` tools that must pass strict runtime validation. If the API returns a missing tracking number, your Python code fails loudly instead of passing bad data. You build e-commerce bots that actually work. The agent maps complex Arabic dialect queries into exact Pydantic models before ever touching the network.
Route shipments via the MCP Server
The model queries `check_city_coverage` and `list_carriers` to find delivery options in the Middle East. Every response gets checked against your predefined schemas. Hallucinated fields cause immediate validation errors. You know exactly when the agent tries to invent a carrier that doesn't exist in the region.
Read inventory with zero silent errors
Your agent pulls stock levels using `list_warehouses` and `list_inventory`. The type-safe framework guarantees the returned integers match your database expectations. Customers ask for stock updates in various Arabic dialects. The system parses the intent, fetches the exact counts, and guarantees correct formatting before replying.
Set up Lamha 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": {
"lamha-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Lamha tools.",
)
result = await agent.run("List recent Lamha 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 Lamha. 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.
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 Lamha MCP in Pydantic AI
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