How to Use the Pappers MCP in CrewAI
Deploy specialized agent teams to automate French corporate KYC using CrewAI and the Pappers MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Pappers MCP to CrewAI
Create your Vinkius account to connect Pappers to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Specialized Multi-Agent Corporate Audits
Avoid asking a single agent to do everything. CrewAI lets you deploy a specialized squad where Agent A uses `search_french_companies` to identify targets, while Agent B analyzes their corporate structures. The research agent passes the metadata to an analyst agent, which invokes `get_company_financials` to review balance sheets. This team-based approach mirrors a human compliance department, delivering deeper risk assessments.
Autonomous Registry Monitoring and Escalation
Let your agents run your background checks. A CrewAI monitoring agent can periodically call `list_monitored_companies` to scan for updates across your portfolio of French businesses. If the monitor agent detects a new legal filing via `list_bodacc_publications`, it escalates the case. It passes the company details to a senior auditor agent to fetch the official documents and draft an incident report.
Hierarchical Due Diligence via CrewAI MCP Server
Manage complex research tasks with strict oversight. CrewAI allows you to establish a hierarchical execution model where a manager agent coordinates how subordinate agents use the Pappers MCP Server tools. The manager assigns the initial `search_ultimate_beneficial_owners` task to a research agent, then directs an audit agent to verify the findings. No tool is run out of order, ensuring highly structured due diligence.
Set up Pappers MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Pappers tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Pappers Analyst",
goal="Access and analyze Pappers data via MCP.",
backstory="Expert analyst with direct Pappers access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Pappers transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Pappers Analyst",
goal="Access and analyze Pappers data via MCP.",
backstory="Expert analyst with direct Pappers access.",
tools=mcp_tools,
)
task = Task(
description="List recent Pappers transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pappers. 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
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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%
lower AI costs
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Common questions about Pappers MCP in CrewAI
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