# FindIP

> Use this tool when you need to conduct in-depth patent research and analysis, finding and comparing patents based on their semantic meaning rather than just keywords. It solves problems of patent overlap, infringement, and innovation tracking by providing a nuanced understanding of patent landscapes. The tool takes in natural language queries and outputs relevant patent information, ideal for use in research and development, intellectual property management, and competitive analysis contexts.

Canonical page: https://skillsregistry.net/skills/ai-findip-patent-search  
JSON: https://api.skillsregistry.net/v1/skills/ai-findip-patent-search

## Description

Semantic patent search & analysis: find, compare, and analyze patents by meaning.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-07-01

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.findip%2Fpatent-search)

## Use it

MCP endpoint published by the skill: `https://mcp.findip.ai`

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": "ai-findip-patent-search"
    }
  }
}
```

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