# Patent MCP Server (pypi · deeparchi-patent-mcp)

Patent search over 1.4B global records via Google Patents on BigQuery, with CN coverage.

- Trust score: 67/100 (medium)
- Change this week: −19
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `deeparchi-patent-mcp`: 67/100 (this document), [markdown](https://verifymcp.io/servers/deeparchi-ai-patent-mcp-server/deeparchi-patent-mcp.md), [page](https://verifymcp.io/servers/deeparchi-ai-patent-mcp-server/deeparchi-patent-mcp)

## Channel facts

- Registry: `pypi`
- Package: `deeparchi-patent-mcp`
- Version: `1.9.2`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it.
  - 0 of 52 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 38 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 82/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 1189 tokens (~108/item across 11 items; 11 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 70/100
  - Stability observed for 21 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Patent MCP Server server?

Patent MCP Server runs locally as a PyPI package, launched with uvx deeparchi-patent-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add deeparchi-ai-patent-mcp-server -- uvx deeparchi-patent-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "deeparchi-ai-patent-mcp-server": {
      "command": "uvx",
      "args": [
        "deeparchi-patent-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "deeparchi-ai-patent-mcp-server": {
      "command": "uvx",
      "args": [
        "deeparchi-patent-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add deeparchi-ai-patent-mcp-server -- uvx deeparchi-patent-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "deeparchi-ai-patent-mcp-server": {
      "type": "local",
      "command": [
        "uvx",
        "deeparchi-patent-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add deeparchi-ai-patent-mcp-server --command uvx --arg deeparchi-patent-mcp
```

### Hermes

```yaml
mcp_servers:
  deeparchi-ai-patent-mcp-server:
    command: "uvx"
    args: ["deeparchi-patent-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "deeparchi-ai-patent-mcp-server": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "deeparchi-patent-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add deeparchi-ai-patent-mcp-server -t stdio -c uvx -a deeparchi-patent-mcp
```

### Other

```json
{
  "mcpServers": {
    "deeparchi-ai-patent-mcp-server": {
      "command": "uvx",
      "args": [
        "deeparchi-patent-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 67, −14)

- [security regression] Malware scan: pass → unverified

### 2026-11-03 (score 81, +10)

- [security improvement] Malware scan: unverified → pass
- [functional] Stability: pass → 0.63

### 2026-11-02 (score 71, −15)

- [security regression] Malware scan: pass → unverified

### 2026-11-01 (score 86, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-31 (score 71, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-29 (score 86, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-28 (score 71, +1)

- [security] Stability: 0.97 → pass

### 2026-10-26 (score 70, −14)

- [security regression] Malware scan: pass → unverified

## MCP tools (11)

### `search_patents` (~244 tokens)

Search global patents by keyword, country, CPC classification, or date range. At least one of country, cpc, or after must be provided to control query cost. Returns patent summaries with titles, abstracts, inventors, assignees, and CPC codes. CN patents include Chinese titles and abstracts.

Input parameters:

- `after` (string): Earliest filing date, format YYYY-MM-DD
- `assignee` (string): Optional assignee/organization name filter (fuzzy match on harmonized names). Use for company-level or city-level analysis, e.g. 'HEFEI', 'BOE', 'HUAWEI'.
- `before` (string): Latest filing date, format YYYY-MM-DD
- `country` (string): Country code filter, e.g. 'CN', 'US', 'EP'
- `cpc` (string): CPC classification code prefix, e.g. 'G06F40', 'H01L'
- `limit` (integer): Maximum results (default 10, max 50)
- `query` (string): Optional keyword/technology area/inventor name to search
- `status` (string): Patent status filter

### `get_patent` (~95 tokens)

Get full patent details by publication number (DOCDB format). Returns classifications, citations, family ID, dates, inventors, assignees. Citations include X/Y/A/D markers for prior art analysis. X=relevant if taken alone, Y=relevant if combined.

Input parameters:

- `publication_number` (string, required): Patent publication number, e.g. 'US-7650331-B1', 'CN-103257828-A'

### `get_patent_claims` (~73 tokens)

Get patent claims text by publication number. Claims define the legal scope of patent protection. Supports US, CN, and most other countries via Google Patents.

Input parameters:

- `publication_number` (string, required): Patent publication number, e.g. 'US-7650331-B1', 'CN-103257828-A'

### `get_legal_status` (~101 tokens)

Get legal status of a patent from Google Patents page. Extracts status (granted/application/utility_model), kind_code (A/B/U), filing_date, grant_date, priority_date, assignee, and legal events timeline. Works for CN, US, EP, and most other jurisdictions.

Input parameters:

- `publication_number` (string, required): Patent publication number, e.g. 'US-7650331-B1', 'CN-110286864-A'

### `get_patent_family` (~102 tokens)

Get patent family members for a patent. Finds family_id from BigQuery, then returns ALL patents sharing that family_id (same invention filed in different countries). Returns family_id, member_count, and members list with publication_number, country_code, kind_code, filing_date, grant_date, title for each.

Input parameters:

- `publication_number` (string, required): Patent publication number, e.g. 'US-7650331-B1', 'CN-110286864-A'

### `batch_get_patents` (~66 tokens)

Get full details for multiple patents in a single call. Much faster than calling get_patent N times separately. Returns list of PatentDetail objects. Max 20 patents per call.

Input parameters:

- `publication_numbers` (array, required): Patent publication numbers (e.g. CN110286864A)

### `batch_get_cited_by` (~72 tokens)

Get cited-by counts and lists for multiple patents in a single call. Returns list of {publication_number, cited_by_count, cited_by_patents, cited_by_url}. Max 10 patents per call.

Input parameters:

- `publication_numbers` (array, required): Patent publication numbers (e.g. CN110286864A)

### `get_cited_by` (~82 tokens)

Get backward citations (who cites this patent). Returns cited_by_count (int) and cited_by_patents (list of {publication_number, title, assignee}). Extracted from Google Patents HTML.

Input parameters:

- `publication_number` (string, required): Patent publication number, e.g. 'US-7650331-B1', 'CN-110286864-A'

### `competitor_citation_matrix` (~116 tokens)

Check if a set of target patents are cited by competitors. Searches each patent's cited-by list and matches citing assignees against competitor keywords (case-insensitive substring). Returns matrix: {patent: [{citing_patent, title, assignee, matched_keyword}]} and summary counts.

Input parameters:

- `competitor_keywords` (array, required): Competitor assignee substrings, e.g. 百度, Baidu, 华为
- `publication_numbers` (array, required): Patent numbers to check (e.g. CN110286864A)

### `bidirectional_citation_graph` (~125 tokens)

Build full bidirectional citation graph for a company's core patents. Searches for company's patents on Google Patents, then fetches forward and backward citations for each. If competitor_keywords provided, also runs competitor citation matrix. Returns: patents list, forward_graph, backward_graph, competitor_matrix.

Input parameters:

- `assignee_name` (string, required): Company name for patent search, e.g. 'Wuhan Carbit'
- `competitor_keywords` (array): Optional competitor substrings, e.g. 百度, 华为
- `limit` (integer): Max patents to analyze (default 10)

### `company_summary` (~113 tokens)

Get a quick patent portfolio summary for a company. Input a company name (Chinese or English), returns total patent count, top technology areas, jurisdiction coverage, activity level, and risk assessment. Zero BigQuery cost — scrapes Google Patents directly. Best for: initial company screening, competitor overview, due diligence triage. Typical latency: 5-10s.

Input parameters:

- `company_name` (string, required): Company name in Chinese or English. e.g. '正浩创新', 'Anker Innovations', 'DJI'

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/deeparchi-ai-patent-mcp-server/deeparchi-patent-mcp#diagnostics

## Score history

- 2026-11-05: 67
- 2026-11-04: 81
- 2026-11-03: 81
- 2026-11-02: 71
- 2026-11-01: 86
- 2026-10-31: 71
- 2026-10-30: 86
- 2026-10-29: 86
- 2026-10-28: 71
- 2026-10-27: 70
- 2026-10-26: 70
- 2026-10-25: 84
- 2026-10-24: 84
- 2026-10-23: 83
- 2026-10-22: 83
- 2026-10-21: 83
- 2026-10-20: 82
- 2026-10-19: 82
- 2026-10-18: 81
- 2026-10-17: 81
- 2026-10-16: 80
- 2026-10-15: 80
- 2026-10-14: 39
- 2026-10-13: 39
- 2026-10-12: 28
- 2026-10-04: 72
- 2026-10-03: 72
- 2026-10-02: 69
- 2026-10-01: 72
- 2026-09-30: 72

## Common questions

### What is the Patent MCP Server server?

Patent MCP Server is listed in the public MCP registry as io.github.deeparchi-ai/patent-mcp-server. Patent search over 1.4B global records via Google Patents on BigQuery, with CN coverage. This page covers its PyPI package (deeparchi-patent-mcp).

### Is the Patent MCP Server server safe to use?

Patent MCP Server scores 67 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Patent MCP Server server expose?

Patent MCP Server exposes 11 tools: search_patents, get_patent, get_patent_claims, get_legal_status, get_patent_family, and 6 more. Their descriptions and schemas cost roughly 1,189 tokens of context every time the server is loaded.

### Is the Patent MCP Server server still maintained?

Patent MCP Server is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Patent MCP Server server under?

Patent MCP Server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/deeparchi-patent-mcp/
- Socket report: https://socket.dev/pypi/package/deeparchi-patent-mcp
- Repository: https://github.com/deeparchi-ai/patent-mcp-server
- Changelog RSS feed: https://verifymcp.io/servers/deeparchi-ai-patent-mcp-server/deeparchi-patent-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/deeparchi-ai-patent-mcp-server/deeparchi-patent-mcp.json
- HTML version of this page: https://verifymcp.io/servers/deeparchi-ai-patent-mcp-server/deeparchi-patent-mcp