How to Use the Factor (Cofactr) MCP in Pydantic AI
Use Factor (Cofactr) with Pydantic AI to enforce strict type-safety for your automated supply chain decisions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Factor (Cofactr) MCP to Pydantic AI
Create your Vinkius account to connect Factor (Cofactr) 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.
Type-safe procurement with Pydantic AI
Every response from the MCP Server is validated against Pydantic models. If `get_item` returns malformed data, the agent stops before it makes a mistake. This keeps your procurement logic predictable and reliable. You know exactly what data format your agent is working with at every step.
Real-time stock tracking via MCP Server
Your agent uses `list_inventory` to pull stock levels that must match your schema. It prevents the agent from hallucinating inventory counts that don't exist. It uses `get_purchase_order` to check on existing orders. The strict validation ensures that the agent only acts on confirmed data from the server.
Automated vendor auditing for Pydantic AI
Your agent pulls supplier details via `list_suppliers` and `get_supplier`. The validation layer ensures that every field is present before the agent processes a vendor. It manages your RFQs by calling `list_rfqs`. This approach ensures your supply chain decisions are based on verified, structured data.
Set up Factor (Cofactr) 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": {
"factor-cofactr-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Factor (Cofactr) tools.",
)
result = await agent.run("List recent Factor (Cofactr) 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 Factor (Cofactr). 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 Factor (Cofactr) MCP in Pydantic AI
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