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Patents Mcp

mcp-tushariitr-19-patents-mcp · by tushariitr-19

MCP server for patent search and prior art discovery powered by Google Patents public dataset

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Install

$ agentstack add mcp-tushariitr-19-patents-mcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

patents-mcp

[](https://golang.org) [](LICENSE) [](https://glama.ai/mcp/servers/tushariitr-19/patents-mcp)

An MCP (Model Context Protocol) server for patent search and prior art discovery, powered by the Google Patents public dataset on BigQuery.

Built with the official Go MCP SDK.

Why patents-mcp?

Existing patent MCP servers are either paid, single-source, or unmaintained. patents-mcp is:

  • Free — built on Google Patents public dataset (1TB/month free on BigQuery)
  • Open source — MIT licensed
  • Production grade — structured logging, graceful shutdown, clean architecture
  • Extensible — each tool is self-contained, easy to add new tools

Available Tools

| Tool | Description | |------|-------------| | search_patents | Search patents by keyword, technology area, or inventor name | | get_patent | Fetch full patent details by publication number | | get_patent_claims | Fetch patent claims text |

Prerequisites

  • Go 1.21+
  • A Google Cloud account (free)
  • BigQuery API enabled on your GCP project

Setup

1. Google Cloud Setup

  1. Create a GCP project at console.cloud.google.com
  2. Enable the BigQuery API
  3. Create a service account with the following roles:
  • BigQuery Job User
  • BigQuery Data Viewer
  1. Download the service account JSON key

2. Install

git clone https://github.com/tushariitr-19/patents-mcp
cd patents-mcp
go build -o patents-mcp-server ./cmd/server/

3. Configure

export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
export GCP_PROJECT_ID="your-gcp-project-id"

# Optional: enable debug logging
export DEBUG=true

Usage with Claude Desktop

Add to your Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "patents-mcp": {
      "command": "/path/to/patents-mcp-server",
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json",
        "GCP_PROJECT_ID": "your-gcp-project-id"
      }
    }
  }
}

Screenshots

Available Tools

Example Prompts

Once connected to Claude Desktop:

  • "Search for patents related to transformer neural networks"
  • "Find prior art for context-aware UI element hiding"
  • "What patents has Google filed related to quantum computing?"
  • "Find patents by inventor Yann LeCun"

Architecture

patents-mcp/
├── cmd/server/main.go       ← entry point, env vars, graceful shutdown
├── server/server.go         ← MCP server setup, tool registration
├── tools/
│   └── search.go            ← search_patents tool (self-contained)
├── bigquery/
│   └── client.go            ← BigQuery query execution
├── logger/
│   └── logger.go            ← structured logging via zap
└── models/
    └── patent.go            ← shared Patent struct

Each tool owns its own dependencies — the server is agnostic of what tools do internally. Adding a new tool is a single line in server/server.go.

Contributing

PRs welcome. To add a new tool:

  1. Create tools/.go
  2. Define your input struct and tool definition
  3. Register it in server/server.go with one line

License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.