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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pappers as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Pappers app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Pappers. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
Pappers
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* 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.

LlamaIndex agents combine Pappers tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the Pappers MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Pappers tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Pappers tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Pappers, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Pappers tools were called, what data was returned, and how it influenced the final answer

Pappers + LlamaIndex Use Cases

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

01

Hybrid search: combine Pappers real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Pappers to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Pappers for fresh data

04

Analytical workflows: chain Pappers queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Pappers in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pappers + LlamaIndex FAQ

Common questions about integrating Pappers MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Pappers tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.