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Pappers MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Get Api Account Info, Get Company Document, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Pappers through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The Pappers app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Pappers "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Pappers?"
    )
    print(result.data)

asyncio.run(main())
Pappers
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Pappers MCP Server

Connect your Pappers.fr account to any AI agent and take full control of your French corporate research and business intelligence through natural conversation. Pappers provides the most comprehensive database for French company legal and financial information, and this integration allows you to retrieve detailed profiles (SIREN/SIRET), monitor officer changes, and access official BODACC publications directly from your chat interface.

Pydantic AI validates every Pappers tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Company Discovery & Search — Search for French businesses programmatically by name, NAF code, or location to ensure your market research is always synchronized.
  • Legal & Compliance Intelligence — Access and monitor officer profiles, ultimate beneficial owners (UBOs), and share capital metadata directly from the AI interface to maintain high-fidelity due diligence.
  • Financial Analysis Control — Retrieve key financial metrics including turnover and net income via natural language to track competitor health or qualify B2B leads.
  • Official Document Oversight — Access legal documents and monitor BODACC publications using simple AI commands to stay informed about corporate events.
  • Operational Monitoring — Track system responses and manage monitored company lists to ensure your business intelligence is always optimized.

The Pappers MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Pappers tools available for Pydantic AI

When Pydantic AI connects to Pappers through Vinkius, your AI agent gets direct access to every tool listed below — spanning company-data, due-diligence, financial-filings, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

fr service API. Verify Pappers API status

get_api_account_info

Get Pappers account details

get_company_document

Access legal documents (Articles of Association)

get_company_financials

Get financial data for a company

get_establishment_details

Get details for a specific establishment

get_french_company_details

Get details for a French company

get_search_suggestions

Autocomplete search suggestions

list_bodacc_publications

Search BODACC publications

list_monitored_companies

List companies in your monitoring list

search_company_officers

Search for company directors and managers

search_french_companies

Search for companies in France

search_ultimate_beneficial_owners

Search for UBOs

Connect Pappers to Pydantic AI via MCP

Follow these steps to wire Pappers into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Pappers with type-safe schemas

Why Use Pydantic AI with the Pappers MCP Server

Pydantic AI provides unique advantages when paired with Pappers through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Pappers integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Pappers connection logic from agent behavior for testable, maintainable code

Pappers + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Pappers MCP Server delivers measurable value.

01

Type-safe data pipelines: query Pappers with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Pappers tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Pappers and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Pappers responses and write comprehensive agent tests

Example Prompts for Pappers in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Pappers immediately.

01

"Search for companies named 'Vinkius' in France."

02

"Look up the financial details and legal status of the French company with SIREN 443061841."

03

"Search for all companies in the Lyon area that operate in the software development sector."

Troubleshooting Pappers MCP Server with Pydantic AI

Common issues when connecting Pappers to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Pappers + Pydantic AI FAQ

Common questions about integrating Pappers MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Pappers MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.