How to Use the USPTO API MCP in CrewAI

Q: How do I search US patents using USPTO API and CrewAI?

You assign a specialized agent the searchpatents tool. This agent researches initial keywords, pulling back patent results autonomously. The crew can then pass these results to another agent for detailed analysis.

Q: How do I list patent classes using USPTO API and CrewAI?

Assign an agent the listpatentclasses tool. This provides the foundational scope dictionary that other agents use to narrow their search parameters, making the entire audit more focused.

Q: Does this MCP Server support searching US trademarks with USPTO API and CrewAI?

It does. The crew can run searchtrademarks first, and then have a second agent execute gettrademarkdetails on the promising IDs found during the initial search.

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Connect USPTO API MCP to CrewAI

Create your Vinkius account to connect USPTO API 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.

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Setup USPTO API with CrewAI

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Coordinated Patent Search

Assign one agent to run `search_patents` based on initial research keywords. A second, dedicated agent can then use `list_patent_classes` to refine the scope of that search. The agents collaborate: Agent 1 finds potential patents; Agent 2 acts as a reviewer, analyzing the class codes and providing context back to Agent 1 for an improved follow-up query.

Complete Trademark Audit Cycle

Set up a 'Researcher' agent to run `search_trademarks` with initial keywords. Once results are pulled, assign a 'Specialist' agent that executes `get_trademark_details` for each promising ID. The crew operates autonomously: the monitor agent watches the sequence of calls, ensuring every step—from search to detail retrieval—is executed in order without human intervention.

System Health and Scope Check

The team starts by having an 'Auditor' agent call `check_api_status`. This confirms the API is live before any work begins. If it fails, the entire crew halts immediately. A different agent can then use `get_patent_details` or `get_trademark_details` to confirm specific record formats while confirming general system health.

Setup guide

Set up USPTO API MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke USPTO API tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="USPTO API Analyst",
    goal="Access and analyze USPTO API data via MCP.",
    backstory="Expert analyst with direct USPTO API access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent USPTO API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="USPTO API Analyst",
        goal="Access and analyze USPTO API data via MCP.",
        backstory="Expert analyst with direct USPTO API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent USPTO API transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USPTO API. 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 USPTO API MCP in CrewAI

You assign a specialized agent the `search_patents` tool. This agent researches initial keywords, pulling back patent results autonomously. The crew can then pass these results to another agent for detailed analysis.

The server touches Patent and Trademark records. Because this is Intellectual Property (IP) data, the crew must be configured to handle secure data transfer between agents.

Yes. You build an agent dedicated to detail retrieval, passing it a serial number. This agent uses `get_trademark_details` to pull the full record, which then gets passed to a final reporting agent.

Assign an agent the `list_patent_classes` tool. This provides the foundational scope dictionary that other agents use to narrow their search parameters, making the entire audit more focused.

It does. The crew can run `search_trademarks` first, and then have a second agent execute `get_trademark_details` on the promising IDs found during the initial search.

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