How to Use the USPTO API MCP in AutoGen

Q: If I need to check API status, how does AutoGen handle USPTO API with me?

You assign one agent the specific task of calling checkapistatus. This critical step ensures that all subsequent agents know whether they can trust the data coming from the USPTO API.

Q: Can AutoGen help me understand patent classification codes using USPTO API?

The consensus process is perfect here. You give one agent listpatentclasses, and a second 'Review Agent' confirms if all the listed classes are needed for your current project scope.

Force consensus on IP viability using multiple expert agents with AutoGen.

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Connect USPTO API MCP to AutoGen

Create your Vinkius account to connect USPTO API to AutoGen 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 AutoGen

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Debating Patent Scope

Set up two agents: one runs `search_patents`, and the second agent compares those results against known classifications by calling `list_patent_classes`. The conversation forces a decision on whether the patents found are relevant to the initial scope. This process achieves consensus on IP viability.

Cross-Checking Trademark Viability

Use AutoGen's multi-agent setup where one agent performs a preliminary search with `search_trademarks`. A second 'Risk Agent' then calls `get_trademark_details` to challenge the initial findings, ensuring no conflicting rights were missed. The agents must debate the final conclusion.

Holistic IP Audit Negotiation

To audit a full portfolio, you can make one agent check API status using `check_api_status`. A second 'Coordinator Agent' then uses this confirmation to direct a third agent to run both `search_patents` and `search_trademarks`, ensuring all necessary checks pass before reporting.

Setup guide

Set up USPTO API MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes USPTO API tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="USPTO API_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent USPTO API data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="USPTO API_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent USPTO API data")
    print(result.messages[-1].content)

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 AutoGen

You configure agents to debate the results. One agent might call `search_patents` and another will challenge that result using `get_patent_details`, forcing a discussion until all assumptions are vetted.

Yes. Instead of you running five different queries, the agents handle it. They negotiate which tools—like `search_patents` and `search_trademarks`—need to run, deciding on the best order.

The agents work with structured data like patent numbers from `get_patent_details`, trademark serial numbers from `get_trademark_details`, and classification codes from `list_patent_classes`.

You assign one agent the specific task of calling `check_api_status`. This critical step ensures that all subsequent agents know whether they can trust the data coming from the USPTO API.

The consensus process is perfect here. You give one agent `list_patent_classes`, and a second 'Review Agent' confirms if all the listed classes are needed for your current project scope.

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