General
bigquery-patent-search - Claude MCP Skill
Fast, cloud-based patent searching across 100 million+ worldwide patents using Google BigQuery - keyword search, CPC classification, patent details retrieval
SEO Guide: Enhance your AI agent with the bigquery-patent-search tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to fast, cloud-based patent searching across 100 million+ worldwide patents using google bigquery - key... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# BigQuery Patent Search Skill
Fast, cloud-based patent searching across 100 million+ worldwide patents using Google BigQuery.
## When to Use
Invoke this skill when users ask to:
- Search for prior art patents
- Find patents in a specific technology area
- Search by CPC classification code
- Look up patent details by publication number
- Conduct freedom-to-operate searches
- Research patent landscapes
## What This Skill Does
Provides access to Google's public patent dataset:
1. **Keyword Search** across 100M+ patents:
- Full-text search of titles, abstracts, claims
- Filter by country (US, EP, JP, CN, etc.)
- Filter by filing/grant date ranges
- Fast cloud-based queries (< 5 seconds)
2. **CPC Classification Search**:
- Search by CPC code (e.g., "G06F16/", "H04L29/06")
- Browse patent classifications
- Find patents in specific technical domains
3. **Patent Details Retrieval**:
- Get full patent text by publication number
- Access title, abstract, claims, description
- View CPC codes, inventors, assignees
- See filing and grant dates
## Required Setup
This skill requires Google Cloud authentication:
**Prerequisites**:
1. Google Cloud Project (free to create)
2. BigQuery API enabled (free for reasonable usage)
3. Application Default Credentials configured
**Setup Commands**:
```bash
# Install Google Cloud SDK (if not installed)
# Visit: https://cloud.google.com/sdk/docs/install
# Authenticate
gcloud auth application-default login
# Set project (get ID from console.cloud.google.com)
export GOOGLE_CLOUD_PROJECT=your-project-id
```
**Environment Variable**:
Set in `.env` file: `GOOGLE_CLOUD_PROJECT=your-project-id`
## How to Use
When this skill is invoked:
1. **Initialize BigQuery searcher**:
```python
import sys
sys.path.insert(0, os.path.join(os.environ.get('CLAUDE_PLUGIN_ROOT', '.'), 'python'))
from python.bigquery_search import BigQueryPatentSearch
searcher = BigQueryPatentSearch()
```
2. **Search by keywords**:
```python
results = searcher.search_patents(
query="blockchain authentication",
limit=20,
country="US", # Optional: filter by country
start_year=2020, # Optional: filter by year
end_year=2024
)
```
3. **Search by CPC code**:
```python
results = searcher.search_by_cpc(
cpc_code="G06F16/", # CPC prefix
limit=20,
country="US"
)
```
4. **Get patent details**:
```python
patent = searcher.get_patent(
patent_number="US10123456B2" # Publication number
)
```
## BigQuery Dataset
Uses `patents-public-data.patents` on Google BigQuery:
- **100M+ worldwide patents**
- **12M+ US patents** with full text
- Updated weekly
- Free to query (no billing for reasonable usage)
## Search Result Format
Each result includes:
```python
{
"publication_number": "US10123456B2",
"title": "Method and system for...",
"abstract": "A system for...",
"filing_date": "2019-01-15",
"grant_date": "2020-06-30",
"country": "US",
"cpc_codes": ["G06F16/245", "H04L29/06"],
"inventors": ["John Doe", "Jane Smith"],
"assignee": "Example Corp"
}
```
Full patent details also include:
- `claims`: Full text of all claims
- `description`: Complete description section
- `priority_date`: Earliest priority date
- `family_id`: Patent family ID
## Presentation Format
Present search results as:
```
PATENT SEARCH RESULTS
====================
Query: "blockchain authentication"
Found: 247 patents (showing top 20)
Date Range: 2020-2024
Country: US
[1] US10123456B2 - System for blockchain-based authentication
Assignee: Example Corp
Filed: 2019-01-15 | Granted: 2020-06-30
CPC: G06F16/245, H04L29/06
Abstract: A system for authenticating users using blockchain
technology with distributed ledger verification...
[2] US10234567B1 - Method of secure authentication using blockchain
...
---
Top 5 Most Relevant:
1. US10123456B2 (95% relevance)
2. US10234567B1 (92% relevance)
...
```
## Advanced Search Techniques
1. **Boolean Operators** in queries:
- "blockchain AND authentication"
- "encryption OR cryptography"
- "(mobile OR wireless) AND security"
2. **Phrase Search**:
- "distributed ledger technology"
- "public key infrastructure"
3. **CPC Code Hierarchies**:
- "G06F" = Computing
- "G06F16/" = Information retrieval
- "G06F16/245" = Structured query language
## Common CPC Codes
- **G06F**: Computing, calculating, counting
- **H04L**: Digital communication
- **G06Q**: Business methods
- **H04W**: Wireless communication
- **G06N**: Computer systems based on specific models
- **G06T**: Image processing
## Error Handling
If BigQuery is not configured:
1. Check if `google-cloud-bigquery` is installed
2. Verify authentication: `gcloud auth application-default login`
3. Confirm project ID in environment: `GOOGLE_CLOUD_PROJECT`
4. Test with: `python scripts/test_bigquery.py`
## Cost Considerations
BigQuery pricing:
- **First 1 TiB/month**: FREE
- **After 1 TiB**: $6.25 per TiB queried (on-demand)
- **Typical query**: 10-50 MB per search
- **Bytes-billed ceiling**: enforced per-query via `PATENT_BIGQUERY_MAX_BYTES_BILLED` (default 25 GiB)
## Tools Available
- **Bash**: To run Python BigQuery searches
- **Read**: To load saved search results
- **Write**: To save patent search results
- **Grep**: To search through saved resultsSignals
Information
- Repository
- RobThePCGuy/Claude-Patent-Creator
- Author
- RobThePCGuy
- Last Sync
- 5/10/2026
- Repo Updated
- 5/10/2026
- Created
- 1/13/2026
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