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aipatterns-mcp-server

aipatterns-mcp-server

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github.com/uchitMemory & Knowledge0Updated 11w ago

About aipatterns-mcp-server

aipatterns-mcp-server makes Australian enterprise AI patterns, incidents, benchmarks, and regulatory changes available to AI assistants and developers. Its data comes from local pattern files and seed data, with no runtime database connection or network calls.

Key features

  1. 01Full-text pattern search
  2. 02Pattern details and implementation guidance
  3. 03Australian AI incident lookup
  4. 04Sector maturity benchmark lookup
  5. 05Regulatory change lookup

Use cases

  1. 01Research patterns for enterprise AI projects
  2. 02Review incidents and related regulatory outcomes
  3. 03Compare sector AI maturity scores
  4. 04Track Australian AI regulatory changes

MCP support

The MCP server exposes search and retrieval tools for patterns, Australian AI incidents, sector benchmarks, and regulatory changes.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"uchit-aipatterns": {
"command": "npx",
"args": [
"-y",
"aipatterns-mcp-server"
]
}
}
}
Run commandnpx -y aipatterns-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmaipatterns-mcp-server1.1.0

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
querystringYesSearch term to match against pattern title, description, or content
categorystringNoOptional category filter (e.g. agentic-ai, governance, security, rag, observability, compliance, human-in-the-loop)
maturitystringNoOptional maturity filter (e.g. production, beta, experimental)

Details

From the project README

aipatterns.com.au MCP Server

A Model Context Protocol (MCP) server that exposes the aipatterns.com.au pattern library, AU AI incidents, sector benchmarks, and regulatory changes as tools callable by Claude, Cursor, GitHub Copilot, and other MCP-compatible AI assistants.

What it provides

ToolDescription
search_patternsFull-text search across the pattern library (title, description, content)
get_patternRetrieve full detail + implementation guidance for a specific pattern
get_incidentsNotable Australian AI incidents with linked patterns and regulatory outcomes
get_sector_benchmarkAU AI Maturity Index scores for banking, insurance, government, retail, healthcare, utilities
get_regulatory_changesAPRA CPS 230, OAIC Privacy Act reform, ASIC INFO 183, TGA SaMD, and more

No database connection or network calls are required at runtime — all data is served from the local pattern files and hardcoded seed data.

Published on npm as aipatterns-mcp-server — no clone or build step needed, npx fetches and runs it.

Add to Claude Desktop

Edit ~/.config/claude/claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "aipatterns": {
      "command": "npx",
      "args": ["-y", "aipatterns-mcp-server"]
    }
  }
}

Restart Claude Desktop.

Add to Cursor

Create or edit .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "aipatterns": {
      "command": "npx",
      "args": ["-y", "aipatterns-mcp-server"]
    }
  }
}

Add to GitHub Copilot (VS Code MCP extension)

Add to your VS Code settings.json:

{
  "mcp.servers": {
    "aipatterns": {
      "command": "npx",
      "args": ["-y", "aipatterns-mcp-server"],
      "transport": "stdio"
    }
  }
}

Running from source (development)

git clone https://github.com/uchit/aipatterns-mcp-server
cd aipatterns-mcp-server
npm install
npm run dev    # runs via tsx (no build step needed)
npm run build  # compile TS → JS for production use

Transport

stdio — the server reads JSON-RPC from stdin and writes responses to stdout. stderr is used for diagnostic messages only.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.