How to Use the Uniconta MCP in Pydantic AI

Q: What operational data can I access with Uniconta and Pydantic AI?

You get reliable access to invoices (listdebtorinvoices), inventory details, and employee records. The type safety ensures that you trust the format of this critical ERP information.

Q: Can I check GL accounts in Uniconta with Pydantic AI?

Yes, using listglaccounts is fully supported. The response data will be validated against your models, confirming that the account codes and descriptions are exactly what you expect.

Ensure correct ERP data handling with Uniconta via Pydantic AI.

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Connect Uniconta MCP to Pydantic AI

Create your Vinkius account to connect Uniconta 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.

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Setup Uniconta with Pydantic AI

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Accurate Debtor and Vendor Status

You use `list_debtors` to get a validated list of all customers. If you need more detail, the agent calls `get_debtor_details`, and Pydantic guarantees the data structure is correct. The framework also validates vendor lists when calling `list_creditors`, meaning you never have to worry about receiving unexpected fields.

Validate Financial Ledger Data

The agent confirms journal entries using `list_daily_journals`. If the underlying API sends bad data, Pydantic fails loudly with a specific error—no silent corruption. This process is critical when checking GL accounts via `list_gl_accounts`, ensuring that every account ID returned matches your expected schema.

Manage Product and Personnel Data

When listing available items, the agent calls `list_inventory_items`. Pydantic confirms that every returned item has all necessary fields like SKU or unit cost. The system also validates employee records using `list_employees`, keeping your HR processes accurate and reliable.

Setup guide

Set up Uniconta 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "uniconta-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Uniconta tools.",
)

result = await agent.run("List recent Uniconta transactions")
print(result.output)

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Common questions about Uniconta MCP in Pydantic AI

Pydantic provides runtime type safety for the MCP Server responses. When your agent calls a tool like `list_debtors`, it validates that every piece of data returned matches your defined Python model.

The main advantage is correctness. If Uniconta or the MCP Server returns malformed JSON, Pydantic doesn't let it slip by; the agent fails loudly, letting you know exactly which field was corrupted.

You get reliable access to invoices (`list_debtor_invoices`), inventory details, and employee records. The type safety ensures that you trust the format of this critical ERP information.

Yes, using `list_gl_accounts` is fully supported. The response data will be validated against your models, confirming that the account codes and descriptions are exactly what you expect.

This server touches debtor invoices, journals, and GL accounts. Specifically, `list_daily_journals` provides a structured view of your general ledger movements.

Use it with your favorite AI tools

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