# USPTO Final Petition Decisions MCP Server

> Use this tool when you need to efficiently access and analyze USPTO Final Petition Decisions with reduced context and customizable fields. It solves problems related to patent lifecycle analysis, prosecution history, and citation intelligence by providing high-performance API access and hybrid document extraction. Ideal for use in patent research and analysis workflows, this tool streamlines data extraction and integration across multiple systems.

Canonical page: https://skillsregistry.net/skills/john-walkoe-uspto-fpd-mcp  
JSON: https://api.skillsregistry.net/v1/skills/john-walkoe-uspto-fpd-mcp

## Description

Enables high-performance access to USPTO Final Petition Decisions API with intelligent context reduction (80-99%), customizable fields, hybrid document extraction (free PyPDF2 + Mistral OCR fallback), and seamless cross-MCP integration for complete patent lifecycle analysis including prosecution history, PTAB challenges, and citation intelligence.

## Trust

- **Trust score (0–1):** 0.06
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggb8zuetx1)
- **Repository:** <https://github.com/john-walkoe/uspto_fpd_mcp>

## 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": "john-walkoe-uspto-fpd-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/john-walkoe-uspto-fpd-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/john-walkoe-uspto-fpd-mcp/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
