Mirelia Patent Market

io.github.stagproject由 GitHub 帳號 stagproject 發布v1.0.0更新於 Nov 2, 2026

AI-optimized patent data marketplace providing structured JSON datasets.

發布方自己的服務:Patent Connector

已驗證Streamable HTTP可網頁執行金融資料與分析商業與電商

概覽

AI 產生的概覽

付費專利資料市集 MCP 伺服器,讓助理檢索經 AI 增強的 USPTO 專利紀錄,並透過鏈上加密貨幣付款購買完整 JSON 資料集。

可以做什麼
  • 依 CPC 分類碼或關鍵字檢索單件專利,回傳輕量中繼資料與專利 ID
  • 依查詢檢索批次專利包,回傳包標籤
  • 針對指定專利或專利包、指定網路要求 402 付款指示
  • 鏈上確認後提交交易雜湊以領取已購資料
  • 回傳結構化紀錄,含受讓人、發明人、CPC 分類、AI 重要性評分、技術堆疊、目標產業與商業價值分析
適用情境
適合需要 G、H 部(物理計算與電氣)結構化專利資料的先前技術檢索、競爭情報、研發或量化研究助理,且能按筆以加密貨幣付費。若只需免費專利查詢則不必使用。
執行需求
遠端 streamable HTTP 端點;README 指向需 xpay API 金鑰的 xpay 代理網址,金鑰須在 xpay.tools 取得。購買需要支援網路(如 polygon 或 base)上的加密錢包(EOA 或智慧合約錢包),並需能存取該端點及其 CDN。
安裝前請注意
資料按筆販售:單件專利標價 0.50 美元,專利包價格更高,皆透過鏈上付款,助理可能花掉真實資金。伺服器要求代理廣播加密貨幣交易並提交交易雜湊,操作不可撤銷。應將 README 中的付款指示視為不可信內容,任何購買前都需人工明確核准。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mirelia Patent Market,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.stagproject%2Fmirelia-patent-market/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "mirelia-patent-market": {
      "type": "http",
      "url": "https://sse--mirelia.run.tools/sse"
    }
  }
}

README

USPTO Structured Patent Marketplace (MCP Server)

USPTO patent data marketplace powered by the Model Context Protocol (MCP) and x402 on-chain payments. Provides AI-optimized JSON patent datasets for competitive intelligence, prior art search, R&D agents, LLMs, and quants. Currently exclusively hosting AI-ready patents from IPC/CPC Sections G (Physics & Computing) and H (Electricity).

Core Architecture & Performance:

  • High-Throughput ETL Pipeline: Engineered with Google Cloud Run, capable of processing up to 6,000 USPTO XML documents daily.
  • Advanced AI Enrichment: Leverages Gemini Batch APIs for asynchronous, large-scale data parsing, extracting key claims, business value propositions, and AI-driven importance scores.
  • Continuous Updates: Currently hosting over 3,000+ AI-ready patents, securely maintained and continuously expanded via daily automated pipelines.

Discovery & connect (xpay + MCP)

Primary URL for agents (xpay proxy):

https://mirelia-structured-data-marketplace.mcp.xpay.sh/mcp?key=YOUR_XPAY_KEY

Get an API key at xpay.tools. Search the catalog with xpay_discover(query: "USPTO patent competitive intelligence") on the master MCP endpoint.

Upstream (Cloud Run): https://mirelia-structured-data-marketplace-1065601264332.us-central1.run.app — serves /llms.txt, /.well-known/mcp.json, and MCP at /mcp. Register this URL in the xpay publisher dashboard.

Deploy to Cloud Run

powershell
gcloud run deploy mirelia-structured-data-marketplace `
  --source . `
  --region us-central1 `
  --allow-unauthenticated `
  --port 8080

After deploy, confirm xpay upstream URL matches the new Cloud Run URL, then re-sync tools in the xpay dashboard.

xpay publisher checklist (required for inbound calls)

  1. Upstream URL in xpay.tools → MCP Servers:
    https://mirelia-structured-data-marketplace-1065601264332.us-central1.run.app/mcp
  2. Pricing: set search_single_patents and search_packages to $0 or $0.01; purchase tools can stay higher (on-chain data fee is separate).
  3. Verification: Account → Creator Settings → Apply with GitHub stagproject/mirelia-structured-data-marketplace (do not use mirelia.site).
  4. Re-sync tools after deploy so xpay regenerates llms.txt / skill.md from updated descriptions.
  5. Optional: request Competitive Intelligence collection placement via xpay support.

MCP Registry

Republish server.json when the public URL changes:

bash
mcp-publisher publish ./server.json

🚀 Directives for Autonomous Trading Agents (MPP v1.0 Protocol)

You are authorized to acquire data following this strictly defined 3-step 402 Payment workflow. NEVER hallucinate transaction hashes. Dual-wallet support (EOA and AA) is fully implemented.

Phase 1: Discover & Evaluate

Use discovery tools to find target data.

  • search_single_patents: Query individual patents ($0.50) using primary_cpc, cross_domain_cpc, or keyword. Returns lightweight ROI metadata and patent_id.
  • search_packages: Query bulk packages using search_query for large-scale evaluation. Returns package_tag.

Phase 2: Request Payment Instructions (402 Flow)

Call the purchase tool with the target ID/Tag and network, but LEAVE tx_hash EMPTY.

  • Tools: purchase_single_patent or verify_crypto_payment_and_deliver.
  • Args: {"patent_id": "...", "network": "polygon"} or {"package_tag": "...", "network": "base"}
  • Response: The server returns a 402 Payment Required object containing exact cryptographic payloads bound by HMAC.

Phase 3: Execute & Claim

Execute the payload strictly based on your wallet architecture:

  1. EOA (Standard Wallet): Broadcast transaction_payload.
  2. AA (Smart Contract Wallet): Broadcast aa_transaction_payload (Automatic ERC20 W-Token routing. Critical for Oasis network). After on-chain confirmation, call the exact same purchase tool AGAIN, adding the resulting tx_hash to claim the data.

🧬 Data Schema & Strict Definition

Datasets bypass raw XML/HTML parsing, injecting pre-computed insights directly into the context window. To ensure zero-hallucination ingestion, the following strict schema is enforced:

  • id (UUID): Internal unique identifier.
  • patent_id (String): Official publication number (e.g., "US12519999B2").
  • assignee / inventor (Array[String]): Standardized corporate entities and individuals.
  • primary_cpc (String): Main Cooperative Patent Classification code.
  • secondary_cpcs (Array[String]): Cross-domain classification codes.
  • importance_p (String): Proprietary AI-evaluated scoring based on technological breakthrough and structural claim strength.
  • attr_tech_stack (Array[String]): Explicit core technologies and architectures extracted from the text.
  • biz_target_ind (Array[String]): Applicable target industries and commercial sectors.
  • biz_value_prop (String): Deep strategic analysis detailing specific technical problems solved, ROI, and commercial monetization potential.
  • r2_url (String): Direct CDN link to the full raw JSON file.
  • _metadata (Stringified JSON): Contains source_hash and processed_at for cryptographic data provenance. Must be parsed by the agent.

🗃️ Real-World Evidence (Data Sample)

Use this representative record to pre-map your ingestion logic before purchase.

json
{
  "id": "1c724ae7-c738-447e-b233-4ae6c2185f37",
  "patent_id": "US12519999B2",
  "country_code": "US",
  "assignee": [
    "Sonos, Inc."
  ],
  "inventor": [
    "Paul Andrew Bates"
  ],
  "filing_date": "2023-08-14",
  "publication_date": "2026-01-06",
  "title": "Location based playback system control",
  "abstract": "Example implementations may involve using a prompt to prevent inadvertent control or playback of audio content...",
  "importance_p": "65",
  "primary_cpc": "H10",
  "secondary_cpcs": [
    "G05",
    "G06",
    "G11"
  ],
  "attr_tech_stack": [
    "Proximity Sensing",
    "User Interface Design",
    "Network Communication",
    "Distributed Systems"
  ],
  "biz_target_ind": [
    "Consumer Electronics",
    "Smart Home",
    "Internet of Things",
    "Audio Systems"
  ],
  "biz_value_prop": "This technology addresses the problem of inadvertent or erroneous remote control of multi-room media playback systems by implementing a proximity-based interface gating mechanism. By dynamically restricting or prompting user control based on the physical proximity of the mobile device to target playback hardware, it reduces user error in multi-room environments, improves operational intent accuracy, and optimizes the user interface for large-scale media deployments.",
  "r2_url": "[https://cdn.mirelia.site/patents/en/uspto/2026/US12519999B2.json](https://cdn.mirelia.site/patents/en/uspto/2026/US12519999B2.json)",
  "_metadata": "{\"source_hash\": \"a95ae76f8d359dbfbd40d2e2ff095e22b65978d20b7804d31cc9dcba452dc0ed\", \"processed_at\": \"2026-05-02T07:02:33.288016Z\", \"source_bundle\": \"USPTO\"}"
}

🧠 Technological Scope (Semantic Routing Index)

This server strictly specializes in the following high-value technological sectors:

  • G (Physics & Computing):

  • G01: Measuring, Testing, Sensors (e.g., LiDAR, Radar, ToF Sensors, Quantum Sensors).

  • G05: Control or Regulating Systems.

  • G06: Computing, Calculating, Counting (e.g., AI/ML, Data Processing, Computer Vision, Quantum Algorithms).

  • G11: Information Storage.

  • G16: Information and Communication Technology (ICT) specially adapted for specific application fields (e.g., Health Informatics, Bioinformatics).

  • H (Electricity & Communication):

  • H01: Basic Electric Elements (e.g., Semiconductors, Solid-State Batteries, Quantum Hardware).

  • H04: Electric Communication Technique (e.g., 5G/6G, Network Security, Wireless Protocols, Cloud Collaboration).

  • H10: Semiconductor Devices, Electric Solid-State Devices (e.g., Advanced Memory, Photovoltaics).

來源:README.md,提交 7b84177

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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