# rememberizer-mcp-us-patent-ck

> Use this tool when you need to search and manage US patent data from 2000 to 2024, leveraging semantic search capabilities for efficient information retrieval. It solves problems related to patent research, analysis, and document management, providing access to a vast repository of patent information. The tool accepts search queries as input and outputs relevant patent data and documents, ideal for use cases such as patent landscaping, prior art research, and innovation tracking.

Canonical page: https://skillsregistry.net/skills/skydeckai-rememberizer-mcp-us-patent-ck  
JSON: https://api.skillsregistry.net/v1/skills/skydeckai-rememberizer-mcp-us-patent-ck

## Description

MCP server providing access to US patent data (2000-2024) via Rememberizer's knowledge retrieval tools, enabling semantic search and document management for patent information.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yvvmp0lxfa)
- **Repository:** <https://github.com/skydeckai/rememberizer-mcp-us-patent-ck>

## 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": "skydeckai-rememberizer-mcp-us-patent-ck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skydeckai-rememberizer-mcp-us-patent-ck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skydeckai-rememberizer-mcp-us-patent-ck/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