How to Use the EPO Open Patent Services MCP in CrewAI
Deploy specialized agent teams. Connect CrewAI to the EPO database for autonomous patent analysis.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EPO Open Patent Services MCP to CrewAI
Create your Vinkius account to connect EPO Open Patent Services to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assign Patent Searches to CrewAI Agents
Stop doing manual prior art reviews. Give a researcher agent access to the `search_epo_patents` tool through your MCP setup and let it scour the European Patent Office database for relevant publications. The researcher finds the hits and passes them down the line. Because CrewAI agents share memory, the next agent in your sequence knows exactly which patents to investigate further.
Delegate Bibliographic Data Extraction
You need a dedicated analyst agent to pull the metadata. By using this MCP tool, specifically `get_patent_bibliographic`, this agent extracts the filing dates, inventor names, and classifications for every document ID found. This keeps your workflow modular. The analyst formats the raw data into a clean report, completely ignoring the noise, and hands it off to your legal evaluation agent.
Automate Legal Status Audits via MCP Server
You can assign a moderator agent to verify the actual standing of a patent. It uses `get_patent_legal_status` to check if a competitor's patent is still active or has lapsed. To prevent wasted cycles, have a monitor agent run `check_api_status` before the crew starts its shift. If the EPO endpoint is down, the crew halts execution until the service recovers.
Set up EPO Open Patent Services 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 EPO Open Patent Services tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="EPO Open Patent Services Analyst",
goal="Access and analyze EPO Open Patent Services data via MCP.",
backstory="Expert analyst with direct EPO Open Patent Services access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent EPO Open Patent Services 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="EPO Open Patent Services Analyst",
goal="Access and analyze EPO Open Patent Services data via MCP.",
backstory="Expert analyst with direct EPO Open Patent Services access.",
tools=mcp_tools,
)
task = Task(
description="List recent EPO Open Patent Services 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 EPO Open Patent Services. 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.
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Common questions about EPO Open Patent Services MCP in CrewAI
Use it with your favorite AI tools
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