How to Use the BIMobject MCP in Pydantic AI
Enforce strict runtime type safety when pulling BIMobject manufacturing data into your Pydantic AI workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BIMobject MCP to Pydantic AI
Create your Vinkius account to connect BIMobject 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 BIMobject schemas with this MCP Server
When your agent calls `search_products` or `get_product_details`, Pydantic AI validates the response against strict schemas. If a manufacturer updates their data format, the system catches it immediately. This prevents malformed data from breaking your downstream applications. You avoid silent model failures because the agent cannot proceed with invalid product parameters.
Clean classification parsing via MCP Server
Architectural classification systems are notoriously complex. Using `list_classifications` and `list_categories`, this server returns structured structural hierarchies that map perfectly to Pydantic models. Your agent can reliably parse these lists to build dropdowns or automated filters. You write less validation code because the framework handles the data cleaning under the hood.
Verify brand and file details without failure
Your agent can verify supplier credentials by running `list_brands` and `get_brand_details`. The output matches your defined Pydantic schemas, ensuring you only process verified manufacturer data. When pulling CAD assets, the agent uses `get_product_files` to retrieve safe, structured download links. The framework validates every URL before your application attempts to download the file.
Set up BIMobject 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": {
"bimobject-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to BIMobject tools.",
)
result = await agent.run("List recent BIMobject 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 BIMobject. 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 BIMobject MCP in Pydantic AI
Use it with your favorite AI tools
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