MCP server
Patent PreCheck Official
io.github.Patent-PreCheck/patent-precheck
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Keyless 12-tool patentability MCP: USPTO pillar scores, prior art, hosted at patentprecheck.com/mcp.
Working at last checkOfficial: patentprecheck.com's GitHub account (Patent-PreCheck)About 2,442 tokens per request once connected12 tools
https://patentprecheck.com/mcp
At a glance
- Type
- MCP server
- Publisher
- patentprecheck.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 12
- Token cost
- About 2,442 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http patent-precheck https://patentprecheck.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.patent-precheck] url = "https://patentprecheck.com/mcp"
Gemini CLI
{"mcpServers":{"patent-precheck":{"httpUrl":"https://patentprecheck.com/mcp"}}}
Cursor
{"mcpServers":{"patent-precheck":{"url":"https://patentprecheck.com/mcp"}}}
VS Code
{"servers":{"patent-precheck":{"type":"http","url":"https://patentprecheck.com/mcp"}}}
Antigravity
agy mcp add patent-precheck https://patentprecheck.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"patent-precheck","server_url":"https://patentprecheck.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"patent-precheck","server_url":"https://patentprecheck.com/mcp"}
Tools
precheck_compare_to_patent~209 tokens
Compare invention text to a known US patent: embedding similarity plus prior-art risk analysis (statute hints, overlap theme, distinction checklist). Use when the user names a specific reference patent.precheck_cpc_suggest~193 tokens
Suggest Cooperative Patent Classification (CPC) codes for an invention description. Offline heuristic — informational only. No network call.precheck_deliverables~150 tokens
Return download URLs for finalized ICR deliverables (filing packet, coaching report, package zip, scorecard PDF). Requires report_id and session_key.precheck_legal_context~172 tokens
Return a short snippet of current US software-patent legal guidance (CAFC, USPTO, Alice/§101) relevant to scoring this invention. Informational only — not legal advice.precheck_lookup_patent~175 tokens
Resolve a US patent or application number (e.g. US1234567B2) via USPTO Open Data Portal and optionally join the indexed prior-art corpus. Returns title, status, CPC, grant-text excerpt, and a public URL. No API key required in the MCP client.precheck_pillars~80 tokens
List the five scoring pillars (with statutes and weights) and the band rules used by precheck_score. Use this to explain a score to the user. No network call.precheck_prior_art~251 tokens
Return the closest prior-art matches consulted for an invention (titles, sources, similarity scores, URLs). Runs the same analyze pipeline as precheck_score but focuses on retrieval results. Pass invention text via `code`.precheck_rejection_patterns~221 tokens
Preview examination-risk signals: similar office-action rejections, abandonment patterns, and the primary statutory basis an examiner might cite (§101/§102/§103). Use after precheck_score to explain prosecution risk.precheck_score~410 tokens
Run a prior-art density / risk-profile pre-check on source code or an invention description. Returns a 0–100 directional score across the four USPTO statutory pillars (§101 eligibility, §102 novelty, §103 non-obviousness, §101 utility), a separate §112 filing-readiness signal, the band (Not Ready →precheck_search_corpus~239 tokens
Fast semantic search against the 2,200,000+ prior-art corpus without LLM scoring. Returns ranked matches with similarity scores. Cheaper than precheck_score when you only need references.precheck_session_status~144 tokens
Return status for an active Interactive Code Review session. Requires report_id and session_key from the user access email link.precheck_start_review~198 tokens
Return the URL where the user can start a paid (or promo-unlocked) Interactive Code Review that strengthens each pillar with evidence and produces a filing package. Use after precheck_score when the user wants to act on the result.
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