docs: update architecture with full MCP server tool surface and auto-registration

- Document all 14 MCP tools with params
- Add auto-registration flow (Claude Code + Cursor configs)
- Document dual WebSocket bridge (tool port 9710, UI port 9711)
- Add Rust MCP module details (spawn, register, upsert)
- Update startup sequence with MCP initialization steps
- Add register_mcp_tools to Tauri IPC commands table

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
lucaronin
2026-02-28 20:13:45 +01:00
parent d7f1fb31be
commit 2bd9cd91dd

View File

@@ -131,29 +131,97 @@ The context picker controls which notes are sent to the AI as context:
### MCP Server
The MCP server (`mcp-server/`) exposes vault operations as tools:
The MCP server (`mcp-server/`) exposes vault operations as tools for AI assistants (Claude Code, Cursor, or any MCP-compatible client).
| Tool | Description |
|------|-------------|
| `open_note` | Open and read a note by path |
| `read_note` | Read note content (alias) |
| `create_note` | Create new note with frontmatter |
| `search_notes` | Search by title or content |
| `append_to_note` | Append text to a note |
#### Tool Surface (14 tools)
**Transports:**
- **stdio** — standard MCP transport (`node mcp-server/index.js`)
- **WebSocket** — live bridge for app integration (`node mcp-server/ws-bridge.js`, port 9710)
| Tool | Params | Description |
|------|--------|-------------|
| `open_note` | `path` | Open and read a note by relative path |
| `read_note` | `path` | Read note content (alias for `open_note`) |
| `create_note` | `path, title, [is_a]` | Create new note with title and optional type frontmatter |
| `search_notes` | `query, [limit]` | Search notes by title or content substring |
| `append_to_note` | `path, text` | Append text to end of existing note |
| `edit_note_frontmatter` | `path, patch` | Merge key-value patch into YAML frontmatter |
| `delete_note` | `path` | Delete a note file from the vault |
| `link_notes` | `source_path, property, target_title` | Add a target to an array property in frontmatter |
| `list_notes` | `[type_filter], [sort]` | List all notes, optionally filtered by type |
| `vault_context` | — | Get vault summary: entity types + 20 recent notes |
| `ui_open_note` | `path` | Open a note in the Laputa UI editor |
| `ui_open_tab` | `path` | Open a note in a new UI tab |
| `ui_highlight` | `element, [path]` | Highlight a UI element (editor, tab, properties, notelist) |
| `ui_set_filter` | `type` | Set the sidebar filter to a specific type |
#### Transports
- **stdio** — standard MCP transport for Claude Code / Cursor (`node mcp-server/index.js`)
- **WebSocket** — live bridge for Laputa app integration:
- Port **9710**: Tool bridge — AI/Claude clients call vault tools here
- Port **9711**: UI bridge — Frontend listens for UI action broadcasts from MCP tools
#### Auto-Registration
On app startup, Laputa automatically registers itself as an MCP server in:
- `~/.claude/mcp.json` (Claude Code)
- `~/.cursor/mcp.json` (Cursor)
The registration is non-destructive (additive — preserves other MCP servers) and uses `upsert` semantics. The entry points to `mcp-server/index.js` with the active vault path as `VAULT_PATH` env var.
Registration also runs from the frontend via the `useMcpRegistration` hook and `register_mcp_tools` Tauri command, ensuring the config stays up-to-date when the vault path changes.
#### Architecture
```
┌─────────────────────────────────────────────────────┐
│ MCP Server (Node.js) │
│ │
│ index.js ─── stdio transport ──→ Claude Code │
│ │ Cursor │
│ ├── vault.js (9 vault operations) │
│ │ ├── findMarkdownFiles ├── deleteNote │
│ │ ├── readNote ├── linkNotes │
│ │ ├── createNote ├── listNotes │
│ │ ├── searchNotes ├── vaultContext │
│ │ ├── appendToNote │
│ │ └── editNoteFrontmatter │
│ │ │
│ └── ws-bridge.js │
│ ├── port 9710: tool bridge ←→ AI clients │
│ └── port 9711: UI bridge ←→ Frontend │
│ │
│ Spawned by Tauri (mcp.rs) on app startup │
│ Auto-registered in ~/.claude/mcp.json │
└─────────────────────────────────────────────────────┘
```
### WebSocket Bridge
The WebSocket bridge (`useMcpBridge` hook) enables real-time vault operations from the frontend:
The WebSocket bridge enables real-time vault operations from both the frontend and external AI clients:
```
Frontend (useMcpBridge) ←→ ws://localhost:9710 ←→ ws-bridge.js ←→ vault.js
MCP stdio tools ←→ ws://localhost:9711 ←→ Frontend UI actions
```
Protocol: JSON-RPC-like with `{id, tool, args}` requests and `{id, result}` responses.
**Tool bridge protocol** (port 9710):
- Request: `{ "id": "req-1", "tool": "search_notes", "args": { "query": "test" } }`
- Response: `{ "id": "req-1", "result": { ... } }`
- Error: `{ "id": "req-1", "error": "message" }`
**UI bridge protocol** (port 9711):
- Broadcast: `{ "type": "ui_action", "action": "open_note", "path": "..." }`
### Rust MCP Module
`src-tauri/src/mcp.rs` manages the MCP server lifecycle:
| Function | Purpose |
|----------|---------|
| `spawn_ws_bridge(vault_path)` | Spawns `ws-bridge.js` as child process with VAULT_PATH env |
| `register_mcp(vault_path)` | Writes Laputa entry to Claude Code and Cursor MCP configs |
| `upsert_mcp_config(path, entry)` | Atomic config file update (create/merge, preserves others) |
The `WsBridgeChild` state wrapper in `lib.rs` ensures the bridge process is killed on app exit via `RunEvent::Exit` handler.
### Rust Backend (Tauri)
@@ -170,24 +238,31 @@ The `ai_chat` Tauri command (`src-tauri/src/ai_chat.rs`) provides a non-streamin
| `src/components/AIChatPanel.tsx` | Main UI: context bar, messages, input, quick actions |
| `src/hooks/useAIChat.ts` | Chat state: messages, streaming, send/retry/clear |
| `src/hooks/useMcpBridge.ts` | WebSocket client for MCP vault tool calls |
| `src/hooks/useMcpRegistration.ts` | Auto-registers Laputa MCP on vault load |
| `src/utils/ai-chat.ts` | API client, token estimation, context builder |
| `src-tauri/src/ai_chat.rs` | Rust Anthropic API client (non-streaming) |
| `mcp-server/index.js` | MCP server entry (stdio transport) |
| `mcp-server/vault.js` | Vault file operations |
| `mcp-server/ws-bridge.js` | WebSocket bridge server |
| `src-tauri/src/mcp.rs` | MCP server spawning + config registration |
| `mcp-server/index.js` | MCP server entry (stdio transport, 14 tools) |
| `mcp-server/vault.js` | Vault file operations (9 functions) |
| `mcp-server/ws-bridge.js` | WebSocket bridge server (tool + UI bridges) |
| `mcp-server/test.js` | 26 unit tests for all vault.js functions |
## Data Flow
### Startup Sequence
```
1. App mounts
2. useVaultLoader fires:
1. Tauri setup:
a. run_startup_tasks() → purge trash, migrate frontmatter, register MCP config
b. spawn_ws_bridge() → start MCP WebSocket bridge (ports 9710, 9711)
2. App mounts
3. useVaultLoader fires:
a. isTauri() ? invoke('list_vault') : mockInvoke('list_vault')
→ VaultEntry[] stored in state
b. Load all content (mock mode) or on-demand (Tauri mode)
c. invoke('get_modified_files') → ModifiedFile[] stored in state
3. User clicks note in NoteList
d. useMcpRegistration → invoke('register_mcp_tools') → ensures MCP config current
4. User clicks note in NoteList
4. useNoteActions.handleSelectNote:
a. invoke('get_note_content') → raw markdown string
b. Add tab { entry, content } to tabs state
@@ -255,6 +330,7 @@ All commands are defined in `src-tauri/src/lib.rs` and registered via `tauri::ge
| `git_commit` | `vault_path, message` | `String` | `git::git_commit()` |
| `git_push` | `vault_path` | `String` | `git::git_push()` |
| `ai_chat` | `request: AiChatRequest` | `AiChatResponse` | `ai_chat::send_chat()` |
| `register_mcp_tools` | `vault_path` | `String` ("registered" or "updated") | `mcp::register_mcp()` |
All commands return `Result<T, String>`. Errors are serialized as JSON error objects to the frontend.