How to Use the EPO Open Patent Services MCP in LlamaIndex

Q: How do I connect the EPO Open Patent Services MCP Server to LlamaIndex?

Install the adapter using pip install llama-index-tools-mcp. Initialize the BasicMCPClient with your server URL, wrap it in a McpToolSpec, and convert it using totoollistasync() for your agent.

Q: Can I index the patent bibliographic data retrieved by LlamaIndex?

Yes, the getpatentbibliographic tool returns structured metadata that your agent can index directly into vector stores. This lets you run semantic searches over official patent abstracts and publication details.

Q: Can I filter which tools from the EPO Open Patent Services MCP server are exposed to LlamaIndex?

Yes, you can use the allowedtools filter when initializing your McpToolSpec. This lets you restrict your agent to specific operations, like only allowing searchepopatents while blocking legal status checks.

Build a searchable knowledge base of global patent data and legal status records using LlamaIndex.

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Connect EPO Open Patent Services MCP to LlamaIndex

Create your Vinkius account to connect EPO Open Patent Services to LlamaIndex 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 EPO Open Patent Services with LlamaIndex

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Index live patent data for semantic search

The `get_patent_bibliographic` tool lets your agent fetch raw patent details and index them directly into your vector store. This MCP server lets your agent pull official metadata, turning raw JSON into searchable, structured documents for your RAG applications. Instead of relying on static PDFs, your index stays fresh. Your agent can query past search sessions and retrieve patent details grounded in actual EPO records, eliminating hallucinations.

Audit patent legal status inside RAG pipelines

The `get_patent_legal_status` tool combines live legal tracking with your local document store. Your LlamaIndex workflows can flag expired patents or pending litigation automatically by matching local files with live registry data. This keeps your legal analysis accurate. You don't have to manually check the status of each patent; the agent queries the live registry and updates the index automatically.

Search the official registry using this MCP Server

The `search_epo_patents` tool translates natural language queries into structured patent searches. This MCP Server translates these queries to scan the global database, retrieving matching documents to expand your local knowledge base. You do not need to write complex database queries. The agent runs the search, parses the official XML or JSON, and feeds the structured results straight into your index.

Setup guide

Set up EPO Open Patent Services MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all EPO Open Patent Services MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to EPO Open Patent Services tools.",
)
response = await agent.run("List recent EPO Open Patent Services data")

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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 LlamaIndex

Install the adapter using `pip install llama-index-tools-mcp`. Initialize the `BasicMCPClient` with your server URL, wrap it in a `McpToolSpec`, and convert it using `to_tool_list_async()` for your agent.

Yes, the `get_patent_bibliographic` tool returns structured metadata that your agent can index directly into vector stores. This lets you run semantic searches over official patent abstracts and publication details.

The server handles the connection details, but you should configure your LlamaIndex agent to space out requests. You can also run `check_api_status` to verify connection availability before starting large indexing jobs.

Yes, you can use the `allowed_tools` filter when initializing your `McpToolSpec`. This lets you restrict your agent to specific operations, like only allowing `search_epo_patents` while blocking legal status checks.

The server processes patent document IDs, search strings, and legal status records. Your queries run in an isolated, zero-trust environment, ensuring your proprietary search terms are never cached or exposed.

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