Patent Research MCP

Patent Research MCP

An MCP server for patent research and enterprise architecture pattern extraction.

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README

patent-research-mcp

Python 3.11+ License: MIT MCP Ruff

A generic MCP server for patent research, architecture extraction, claims analysis, and pattern synthesis.

Fetches patents from Google Patents, extracts structured sections, analyzes architectural patterns, assesses claims risk, and synthesizes reusable design patterns — all through Model Context Protocol (MCP) tools.


Why

Patent research for system architecture is repetitive and error-prone. This tool automates the pipeline:

fetch → extract → analyze → firewall → pattern → export

Each step produces structured, reviewable artifacts that feed into architecture decision records (ADRs), not unstructured notes.


Quick Start

# Install with dev dependencies
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

# Verify
patent-research seeds

CLI Usage

Command Description
patent-research seeds List seed patents with metadata
patent-research fetch <number> [--pdf] Download patent HTML + plain text
patent-research sections <number> Extract structured sections (abstract, claims, description, etc.)
patent-research patterns List saved architectural patterns
patent-research export Generate complete research summary
# Complete workflow
patent-research seeds
patent-research fetch US7979296B2
patent-research sections US7979296B2 --save
patent-research patterns
patent-research export

MCP Server

Run as a standard MCP server for use with any MCP client (Claude Desktop, Hermes, etc.):

python -m patent_research_mcp.server

Tools (10 total)

Tool Description
patent_seed_list List all seed patents with metadata
patent_fetch Download patent HTML, plain text, and optional PDF
patent_get_sections Extract structured sections from a fetched patent
architecture_card_save Save a structured architecture analysis
claims_firewall_save Save a claims risk assessment
pattern_save Save a reusable architecture pattern
pattern_list List all saved patterns
pattern_compare Compare patterns across patents for shared concepts
research_export_markdown Generate a complete research summary
module_proposal Generate a module proposal template

Example: Hermes config

mcp:
  servers:
    patent-research:
      command: /path/to/.venv/bin/python
      args: [-m, patent_research_mcp.server]
      enabled: true
      env:
        RESEARCH_PLUGIN: /path/to/private-plugin  # optional

Data Flow

Google Patents
     │
     ▼
  fetch()        ─── raw/ (HTML + TXT + optional PDF)
     │
     ▼
  get_sections() ─── sections/ (structured JSON)
     │
     ▼
  ArchitectureCard  ─── cards/ (architecture analysis)
  ClaimsFirewall    ─── claims/ (risk assessment)
  PatternCard       ─── patterns/ (reusable patterns)
     │
     ▼
  export()        ─── exports/ (research summary)

Artifacts

Artifact Schema Purpose
ArchitectureCard ArchitectureCard Structured architecture analysis: problem, components, ontology, patterns
ClaimsFirewall ClaimsFirewall Risk assessment: dangerous claims, safe abstractions, design-around
PatternCard PatternCard Reusable pattern: entities, events, states, reusable principle

Plugin System

The server supports private plugins via the RESEARCH_PLUGIN environment variable. When set, the plugin's patents.json overrides the default seed list. This allows domain-specific patent collections without forking the generic core.

patent-research-mcp/          # public, generic
└── src/patent_research_mcp/
    └── server.py             # checks $RESEARCH_PLUGIN/patents.json

private-plugin/               # private, domain-specific
└── patents.json              # SeedPatent array

Example patents.json:

[
  {
    "publication_number": "US20220237532A1",
    "title": "Digital Twin of Organizational Processes",
    "domain": "enterprise-architecture",
    "why_it_matters": "...",
    "google_patents_url": "https://patents.google.com/patent/US20220237532A1/"
  }
]

Schemas

Class File Description
ArchitectureCard schemas.py Full patent architecture analysis
ClaimsFirewall schemas.py Claims liability assessment
PatternCard schemas.py Reusable architectural pattern
SeedPatent schemas.py Seed patent entry
CompareResult schemas.py Cross-pattern comparison result

Environment Variables

Variable Default Description
PATENT_RESEARCH_DATA $CWD/data Data storage directory
RESEARCH_PLUGIN Path to private plugin with custom seeds

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest -v

# Lint
ruff check src/
ruff format --check src/

# Type check (optional)
mypy src/

Project Structure

patent-research-mcp/
├── src/patent_research_mcp/
│   ├── __init__.py
│   ├── server.py       — MCP server (tools) + CLI
│   ├── schemas.py      — Pydantic models
│   ├── patents.py      — Google Patents fetcher (Playwright)
│   ├── store.py        — JSON file storage
│   ├── normalizer.py   — Text & synonym normalization
│   ├── exporter.py     — Markdown report generation
│   └── seed.py         — Default seed patent data
├── prompts/            — LLM prompt templates for analysis
├── data/               — Patent artifacts (gitignored except examples)
├── tests/              — pytest suite
└── pyproject.toml      — Build config

License

MIT — see LICENSE for details.

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