# Patent Connector

> Use this tool when you need to integrate live patent data into AI chat tools for informed conversations and research. It solves problems related to patent research, IP analysis, and building patent-aware AI applications by connecting to databases like EPO OPS and USPTO ODP. The tool accepts API connections as input and outputs patent claims, prior art, and summaries for enhanced AI interactions.

Canonical page: https://skillsregistry.net/skills/patent-connector  
JSON: https://api.skillsregistry.net/v1/skills/patent-connector

## Description

Patent Connector adds patent data capabilities to AI chat tools like ChatGPT and Claude by connecting them to live patent database APIs including EPO OPS, USPTO ODP, and DPMA Connect Plus. Once connected, AI assistants can fetch patent claims, prior art, and summaries directly during conversations, enabling patent-aware interactions. The implementation supports both cloud deployment and on-premises installation for organizations requiring local data control, making it useful for patent research, IP analysis, and building patent-informed AI applications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/patent-connector)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "patent-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/patent-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/patent-connector/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt