sync: contextual substrate UX from private repo
- Add DimensionIconsContext for app-wide dimension icon sharing - Enhanced getNodeIcon() with favicon/YouTube/PDF detection + dimension icons - Propagate dynamic icons to GridView, ListView, SearchModal, FocusPanel, ViewsOverlay, FolderViewOverlay - Add RahEdge component with hover labels for map edges - Update RahNode with dimension-colored borders and icon support - Add MiniMap with dimension color coding to MapPane - MCP server: add description field to rah_update_node, bump standalone to v1.4.2 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
“BeeRad”
co-authored by
Claude Opus 4.6
Claude Opus 4.6
parent
d6987a3dc1
commit
d723212ed3
@@ -78,6 +78,7 @@ const updateNodeInputSchema = {
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id: z.number().int().positive().describe('Node ID'),
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updates: z.object({
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title: z.string().optional().describe('New title'),
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description: z.string().optional().describe('New description (overwrites existing)'),
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content: z.string().optional().describe('Content to APPEND'),
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link: z.string().optional().describe('New link'),
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dimensions: z.array(z.string()).optional().describe('New dimensions (replaces existing)'),
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@@ -1,6 +1,6 @@
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{
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"name": "ra-h-mcp-server",
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"version": "1.4.1",
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"version": "1.4.2",
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"description": "Connect Claude Code/Desktop to your RA-H knowledge base. Direct SQLite access - no web app required.",
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"main": "index.js",
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"bin": {
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+171
-3
@@ -43,9 +43,12 @@ let lastErrorMessage = null;
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let logger = (message) => console.log(`[mcp] ${message}`);
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const instructions = [
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'Use rah.add_node to summarize conversations or files into nodes with dimensions.',
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'Use rah.search_nodes to recall prior notes before you suggest creating new ones.',
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'All operations happen locally on this device; data never leaves 127.0.0.1.'
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'RA-H is a personal knowledge graph — local-first, vendor-neutral.',
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'Core concepts: nodes (knowledge units), edges (connections with explanations), dimensions (categories).',
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'Always call rah_get_context first to orient yourself — it returns hub nodes, dimensions, stats, and available guides.',
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'Search before creating: use rah_search_nodes to check if content already exists.',
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'Every edge needs an explanation: why does this connection exist?',
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'All data stays local on this device; nothing leaves 127.0.0.1.',
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].join(' ');
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const serverInfo = {
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@@ -123,6 +126,7 @@ const updateNodeInputSchema = {
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id: z.number().int().positive().describe('The ID of the node to update'),
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updates: z.object({
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title: z.string().optional().describe('New title'),
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description: z.string().optional().describe('New description (overwrites existing)'),
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content: z.string().optional().describe('Content to APPEND (not replace)'),
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link: z.string().optional().describe('New link'),
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dimensions: z.array(z.string()).optional().describe('New dimensions (replaces existing)'),
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@@ -253,6 +257,45 @@ const searchEmbeddingsOutputSchema = {
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)
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};
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// rah_extract_url schemas
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const extractUrlInputSchema = {
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url: z.string().url().describe('URL of the webpage to extract content from')
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};
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const extractUrlOutputSchema = {
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success: z.boolean(),
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title: z.string(),
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content: z.string(),
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chunk: z.string(),
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metadata: z.record(z.any())
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};
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// rah_extract_youtube schemas
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const extractYoutubeInputSchema = {
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url: z.string().describe('YouTube video URL to extract transcript from')
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};
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const extractYoutubeOutputSchema = {
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success: z.boolean(),
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title: z.string(),
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channel: z.string(),
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transcript: z.string(),
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metadata: z.record(z.any())
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};
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// rah_extract_pdf schemas
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const extractPdfInputSchema = {
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url: z.string().url().describe('URL of the PDF file to extract content from')
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};
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const extractPdfOutputSchema = {
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success: z.boolean(),
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title: z.string(),
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content: z.string(),
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chunk: z.string(),
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metadata: z.record(z.any())
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};
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async function resolveBaseUrl() {
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try {
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const value = await baseUrlResolver();
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@@ -683,6 +726,131 @@ mcpServer.registerTool(
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}
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);
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mcpServer.registerTool(
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'rah_extract_url',
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{
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title: 'Extract URL content',
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description: 'Extract content from a webpage URL. Returns title, content, and metadata for creating nodes.',
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inputSchema: extractUrlInputSchema,
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outputSchema: extractUrlOutputSchema
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},
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async ({ url }) => {
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const result = await callRaHApi('/api/extract/url', {
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method: 'POST',
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body: JSON.stringify({ url })
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});
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const summary = `Extracted content from: ${result.title || 'webpage'}`;
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return {
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content: [{ type: 'text', text: summary }],
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structuredContent: {
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success: true,
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title: result.title || 'Untitled',
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content: result.content || '',
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chunk: result.chunk || '',
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metadata: result.metadata || {}
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}
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};
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}
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);
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mcpServer.registerTool(
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'rah_extract_youtube',
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{
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title: 'Extract YouTube transcript',
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description: 'Extract transcript from a YouTube video. Returns title, channel, transcript, and metadata.',
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inputSchema: extractYoutubeInputSchema,
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outputSchema: extractYoutubeOutputSchema
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},
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async ({ url }) => {
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const result = await callRaHApi('/api/extract/youtube', {
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method: 'POST',
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body: JSON.stringify({ url })
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});
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const summary = `Extracted transcript from: ${result.title || 'YouTube video'}`;
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return {
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content: [{ type: 'text', text: summary }],
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structuredContent: {
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success: true,
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title: result.title || 'Untitled',
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channel: result.channel || 'Unknown',
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transcript: result.transcript || '',
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metadata: result.metadata || {}
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}
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};
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}
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);
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mcpServer.registerTool(
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'rah_extract_pdf',
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{
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title: 'Extract PDF content',
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description: 'Extract content from a PDF file URL. Returns title, content, and metadata for creating nodes.',
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inputSchema: extractPdfInputSchema,
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outputSchema: extractPdfOutputSchema
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},
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async ({ url }) => {
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const result = await callRaHApi('/api/extract/pdf', {
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method: 'POST',
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body: JSON.stringify({ url })
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});
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const summary = `Extracted content from: ${result.title || 'PDF document'}`;
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return {
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content: [{ type: 'text', text: summary }],
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structuredContent: {
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success: true,
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title: result.title || 'Untitled PDF',
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content: result.content || '',
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chunk: result.chunk || '',
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metadata: result.metadata || {}
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}
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};
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}
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);
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// rah_get_context — orientation tool for external agents
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mcpServer.registerTool(
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'rah_get_context',
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{
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title: 'Get RA-H context',
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description: 'Get orientation context: hub nodes, dimensions, stats, and available guides. Call this first.',
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inputSchema: {},
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outputSchema: {
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schema: z.object({ nodeCount: z.number(), edgeCount: z.number(), dimensionCount: z.number() }),
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hubNodes: z.array(z.object({ id: z.number(), title: z.string(), description: z.string().nullable(), edgeCount: z.number() })),
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dimensions: z.array(z.object({ name: z.string(), nodeCount: z.number(), description: z.string().nullable() })),
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guides: z.array(z.string())
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}
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},
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async () => {
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const hubResult = await callRaHApi('/api/nodes?sortBy=edges&limit=5', { method: 'GET' });
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const hubNodes = Array.isArray(hubResult.data) ? hubResult.data.map(n => ({
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id: n.id, title: n.title, description: n.description ?? null, edgeCount: n.edge_count ?? 0
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})) : [];
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const dimResult = await callRaHApi('/api/dimensions', { method: 'GET' });
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const dimensions = Array.isArray(dimResult.data) ? dimResult.data.map(d => ({
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name: d.name, nodeCount: d.node_count ?? 0, description: d.description ?? null
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})) : [];
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const guideResult = await callRaHApi('/api/guides', { method: 'GET' });
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const guides = Array.isArray(guideResult.data) ? guideResult.data.map(g => g.name) : [];
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const stats = { nodeCount: 0, edgeCount: 0, dimensionCount: dimensions.length };
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try {
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const countResult = await callRaHApi('/api/nodes?limit=1', { method: 'GET' });
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if (countResult.total !== undefined) stats.nodeCount = countResult.total;
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} catch { /* use defaults */ }
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return {
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content: [{ type: 'text', text: `Knowledge graph: ${stats.dimensionCount} dimensions, ${hubNodes.length} hub nodes. ${guides.length} guides available.` }],
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structuredContent: { schema: stats, hubNodes, dimensions, guides }
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};
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}
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);
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async function readRequestBody(req) {
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if (req.method !== 'POST') return undefined;
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try {
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