Getname

.prettierignore

@@ -1,4 +1,5 @@
 node_modules/
+knowledge-mcp/src/knowledge/entries.json
 *.json
 dist/
 *.html

README.md

@@ -650,3 +650,24 @@ In this situation, the latinName for species is not passed in, but calculated fr
 A date property that automatically updates whenever the model instance is saved.
 
 [Documentation](https://monolithst.github.io/functional-models/functions/index.orm.properties.LastModifiedDateProperty.html)
+
+# MCP Development Server
+
+Functional Models has an MCP server for AI based development. It provides knowledge entries for the AI to have specific examples of how to work with and manipulate models in a system. This GREATLY increases the accuracy and understanding of AI working with these systems, making it really easy to add new features, refactor, and make the best use of features.
+
+## Quick Start
+
+You can setup the server by setting up Cursor (or similar) with this configuration.
+
+```json
+{
+  "mcpServers": {
+    "node-in-layers-core": {
+      "command": "npx",
+      "args": ["-y", "@functional-models/knowledge-mcp"]
+    }
+  }
+}
+```
+
+You can learn more about this here [Knowledge MCP](./knowledge-mcp/README.md)

eslint.config.mjs

@@ -23,6 +23,7 @@ export default [
     ignores: [
       'buildDocs',
       'eslint.config.mjs',
+      'knowledge-mcp/',
       'dist/',
       'node_modules/',
       'test/',

knowledge-mcp/README.md

@@ -0,0 +1,33 @@
+# Development Mcp Tool for Functional models
+
+Whenever you build a system using functional models, you can use this MCP tool to teach the AI how to actually interact and work with your models.
+
+## How To Use
+
+You can use this as a CLI MCP tool with any normal AI service. Here is an example used with Cursor.
+
+```json
+{
+  "mcpServers": {
+    "node-in-layers-core": {
+      "command": "npx",
+      "args": ["-y", "@functional-models/knowledge-mcp"]
+    }
+  }
+}
+```
+
+### Selecting a specific version.
+
+If you want the development knowledge to match the version of Node In Layers Core you are using, you can put it in the npx command.
+
+```json
+{
+  "mcpServers": {
+    "node-in-layers-core": {
+      "command": "npx",
+      "args": ["-y", "@functional-models/knowledge-mcp@3.6.2"]
+    }
+  }
+}
+```

knowledge-mcp/bin/build.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+set -e
+
+# Build parent core package so we can embed it
+npm --prefix .. run build
+
+rm -Rf ./dist
+
+# Bundle built core into local node_modules for runtime self-containment
+rm -Rf ./node_modules/functional-models
+mkdir -p ./node_modules/functional-models
+cp -R ../dist/* ./node_modules/functional-models/
+
+npm run tsc -- -p ./tsconfig.json
+node - <<'NODE'
+const fs = require('fs');
+const corePkg = JSON.parse(fs.readFileSync('../package.json','utf8'));
+const mcpPkg = JSON.parse(fs.readFileSync('./package.json','utf8'));
+mcpPkg.version = corePkg.version;
+mcpPkg.dependencies = mcpPkg.dependencies || {};
+mcpPkg.dependencies['functional-models'] = corePkg.version;
+fs.mkdirSync('./dist', { recursive: true });
+fs.writeFileSync('./dist/package.json', JSON.stringify(mcpPkg, null, 2));
+NODE
+cp README.md ./dist
+cp -R ./bin/ ./dist/
+rm ./dist/bin/build.sh
+
+sed -i -e 's/..\/dist\//..\//g' ./dist/bin/mcp_server.js

knowledge-mcp/bin/mcp_server.js

@@ -0,0 +1,29 @@
+#!/usr/bin/env tsx
+
+import esMain from 'es-main'
+import { ArgumentParser } from 'argparse'
+import * as core from '@node-in-layers/core'
+import { default as config } from '../dist/config.js'
+
+const _parseArguments = () => {
+  const parser = new ArgumentParser({
+    description: 'Starts the MCP server.',
+  })
+  return parser.parse_args()
+}
+
+const startServer = async () => {
+  const context = await core.loadSystem({
+    environment: 'prod',
+    config: await config(),
+  })
+  await context.mcp.mcp.start()
+}
+
+if (esMain(import.meta)) {
+  const args = _parseArguments()
+  startServer(args.environment).catch(error => {
+    console.error('Failed to start the server:', error)
+    process.exit(1)
+  })
+}