How to Use the Scoro MCP in Pydantic AI

Q: How do I configure the Scoro MCP Server inside Pydantic AI?

Initialize MCPToolset with your Vinkius HTTP endpoint and pass it to the toolsets argument of your Agent. The framework automatically registers the tools and validates their outputs.

Q: Can I use Pydantic AI to filter Scoro contacts?

Yes, your agent can call listcontacts and use Pydantic's validation to filter companies and people. The framework ensures the returned list matches your defined schema.

Q: How is my Scoro project and task data protected in Pydantic AI?

Your project names from listprojects and task descriptions from listtasks are processed entirely in memory within your validated runtime. Vinkius operates as a secure MCP proxy, never storing your operational data.

Run type-safe queries against Scoro projects and invoices with runtime validation in Pydantic AI.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Scoro MCP to Pydantic AI

Create your Vinkius account to connect Scoro to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Scoro with Pydantic AI

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Type-safe financial data validation

`list_invoices` returns structured billing data that Pydantic AI validates against strict schemas at runtime. Your agent rejects malformed payloads instantly instead of processing corrupted financial data. This prevents silent failures when pulling records from Scoro. You get guaranteed type safety for every invoice number, tax rate, and total amount.

Validated team tracking using Pydantic AI

`list_time_entries` provides the exact hours logged by your engineers, parsed directly into validated Python objects using this MCP Server. The agent calculates utilization rates using guaranteed integers and floats. By enforcing strict types on these time logs, Pydantic AI prevents downstream calculation errors. Your reporting pipelines stay accurate without manual data cleaning.

Structured task and contact auditing

`list_tasks` retrieves current action items along with their priorities and assignees. The agent maps these tasks to validated models to ensure no fields are missing. Using `get_contact` allows your agent to fetch specific client records safely. Every phone number, email, and company name matches your expected schema before execution.

Setup guide

Set up Scoro 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": {
        "scoro-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Scoro. 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.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Scoro MCP in Pydantic AI

Initialize `MCPToolset` with your Vinkius HTTP endpoint and pass it to the `toolsets` argument of your `Agent`. The framework automatically registers the tools and validates their outputs.

The framework raises a validation error immediately if an endpoint like `list_projects` returns unexpected types. This keeps your production systems safe from silent data corruption.

Yes, the framework supports both Streamable HTTP and SSE transports. You can connect your agent to the externally hosted Vinkius Scoro MCP integration using either protocol.

Yes, your agent can call `list_contacts` and use Pydantic's validation to filter companies and people. The framework ensures the returned list matches your defined schema.

Your project names from `list_projects` and task descriptions from `list_tasks` are processed entirely in memory within your validated runtime. Vinkius operates as a secure MCP proxy, never storing your operational data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript