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  1. Home
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  3. Patents MCP
Patents MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/10/2026, 5:46:16 AM

Patents MCP

User RatingsBe the first to rate and review this MCP server!
View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).Visit Website
patentsprior-artresearchbigquery

Search Google Patents data for prior art, inspect patent records, and retrieve claims through MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for tushariitr-19/patents-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (3) Directory Badge Claim listing Alternatives🔬 More in Research

Overview

The tushariitr-19/patents-mcp MCP server exposes patent search and prior-art lookup through Google Patents public data queried in BigQuery. Its MCP tools search by keywords, technology areas, or inventors, retrieve patent records by publication number, and return legal claims text. Running it requires a Google Cloud project with BigQuery enabled and service-account credentials. Reach for it when an agent needs patent research rather than general web search.

Use cases

•Search patents related to a technical concept
•Find prior art for a product or invention
•Inspect patent details by publication number
•Retrieve claims text for patent comparison
•Find patents associated with an inventor

Key features

•Keyword, technology-area, and inventor patent search
•Patent detail lookup by publication number
•CPC code and citation retrieval
•Legal claims text retrieval
•BigQuery access to the Google Patents public dataset
•Claude Desktop configuration support

Capabilities & Tool Schemas (3) ~43 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Patents MCP.

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

How Patents MCP works

What tushariitr-19/patents-mcp MCP server does

The tushariitr-19/patents-mcp MCP server gives an MCP-compatible client access to patent records from the Google Patents public dataset in BigQuery. It is aimed at patent discovery and prior-art research, with separate operations for finding candidate patents, inspecting a specific publication, and retrieving claims.

The available tools are:

  • search_patents: searches using a keyword, technology area, or inventor name.
  • get_patent: retrieves full details for a patent identified by publication number, including CPC codes and citations according to the listing description.
  • get_patent_claims: returns the text of a patent’s legal claims.

This separation lets an agent start with a broad search and then request more detail only for selected publications.

How it works

The server is implemented in Go with the official Go MCP SDK. Its entry point starts the MCP service and registers the patent tools. Tool requests are handled through a BigQuery client, which runs queries against the public Google Patents dataset using the configured Google Cloud project.

A typical workflow is to search for a technical concept or inventor, select a publication number from the results, request the complete patent record, and then fetch the claims for closer comparison. Example research prompts in the project cover transformer neural networks, context-aware interfaces, quantum computing patents, and patents associated with Yann LeCun.

The repository separates server setup, tool implementations, BigQuery access, logging, and shared patent models. That structure is relevant if you plan to extend the server with additional patent-related operations.

Setup and configuration

To run tushariitr-19/patents-mcp MCP server, use a Google Cloud project, enable the BigQuery API, and create a service account. The documented roles are BigQuery Job User and BigQuery Data Viewer. Download the service-account JSON key and make it available to the process.

The README describes a source-build installation:

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

Set these environment variables before starting the resulting binary:

  • GOOGLE_APPLICATION_CREDENTIALS: path to the service-account JSON file.
  • GCP_PROJECT_ID: Google Cloud project used for BigQuery jobs.
  • DEBUG: optional setting for debug logging.

The documented Claude Desktop configuration starts the compiled binary and passes the credential path and project ID through its env object.

Limitations and notes

The data source is the Google Patents public dataset accessed through BigQuery, so use of the server depends on Google Cloud and BigQuery configuration. The README describes BigQuery’s free allowance as 1 TB per month, but actual usage and account conditions should be checked in Google Cloud. No hosted endpoint or prebuilt package is documented; the provided installation path builds the Go executable locally.

The server does not claim to provide legal advice or replace professional patent analysis. Its documented scope is searching patent data, reading patent details, and retrieving claims. The project is MIT licensed. The tushariitr-19/patents-mcp MCP server is therefore best suited to research workflows that can supply Google Cloud credentials and need structured access to this particular patent dataset.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
5
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.
Directory activity
5 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Patents MCP

Clone the GitHub repository and build it with `go build -o patents-mcp-server ./cmd/server/`. The documented setup requires Go and a Google Cloud project with BigQuery enabled.

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Technical Specs & Signals

Category🔬Research
PricingFree
More technical detailsExpand â–¾
AuthOther
LicenseMIT
ClientsClaude Desktop
Last updatedSep 2, 2026
10/11 checks healthy over the last 31d
Views5
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 19, 2026
51Quality signal: Good · 51/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity4/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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