MCP server · Patlytics

Patlytics Patent Search

Concept-level, AI-native patent intelligence inside an MCP client. Describe an invention in plain language and get semantically similar patents, look up a specific patent's claims, search academic literature, and browse your organization's private patent portfolios. All tools are read-only; deeper analyses (freedom-to-operate, infringement, invalidity, drafting) run in the Patlytics web app, linked from every result.

Open endpoint → Patlytics provider profile

One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.

Provider: Patlytics Type: Hosted endpoint Transport: http Host: mcp.patlytics.ai

Endpoint

https://mcp.patlytics.ai/mcp

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

# mcp client config (e.g. .mcp.json / mcp settings) { "mcpServers": { "patlytics": { "url": "https://mcp.patlytics.ai/mcp" } } }

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

# Add to claude_desktop_config.json { "mcpServers": { "patlytics": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.patlytics.ai/mcp"] } } }

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

curl -i -X POST https://mcp.patlytics.ai/mcp \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

list_portfolios — List the patent portfolios (workspaces) in your Patlytics organization. Returns your org-private portfolios, each with an id you can pass to list_vault_patents to see the patents inside it.
list_vault_patents — List the org-private patents saved in your Patlytics vault. Covers patents your organization has saved or uploaded (including unpublished drafts), optionally scoped to a single portfolio.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

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