# MCP Server > Connect Claude Code and other AI assistants to your knowledge base. **How it works:** RA-OS includes an MCP (Model Context Protocol) server. This lets any MCP-compatible assistant — like Claude Code — search your notes, add new knowledge, and manage your knowledge graph. Everything stays local. --- ## Quick Start (Recommended) The easiest way is using the npm package: ```json { "mcpServers": { "ra-h": { "command": "npx", "args": ["ra-h-mcp-server"] } } } ``` Add this to your `~/.claude.json` (Claude Code) or Claude Desktop settings. **Requirements:** - Node.js 18+ installed **That's it.** The database is created automatically on first connection. No need to keep RA-OS running. --- ## Alternative: Local Development If you're developing RA-OS and want to use the local server: ### Standalone (No Web App Required) ```json { "mcpServers": { "ra-h": { "command": "node", "args": ["/path/to/ra-h_os/apps/mcp-server-standalone/index.js"] } } } ``` First install dependencies: ```bash cd apps/mcp-server-standalone npm install ``` ### HTTP Transport (Web App Required) If you want real-time UI updates when nodes are created: 1. Start RA-OS: `npm run dev` 2. Configure: ```json { "mcpServers": { "ra-h": { "url": "http://127.0.0.1:44145/mcp" } } } ``` --- ## Available Tools | Tool | Description | |------|-------------| | `rah_get_context` | Get graph overview — stats, hub nodes, dimensions, recent activity. Called first automatically. | | `rah_add_node` | Create a new node (title/content/dimensions) | | `rah_search_nodes` | Search existing nodes by keyword | | `rah_update_node` | Update an existing node | | `rah_get_nodes` | Get nodes by ID | | `rah_create_edge` | Create relationship between nodes | | `rah_update_edge` | Update an edge explanation | | `rah_query_edges` | Query existing edges | | `rah_list_dimensions` | List all dimensions | | `rah_create_dimension` | Create a new dimension | | `rah_update_dimension` | Update/rename dimension | | `rah_delete_dimension` | Delete a dimension | --- ## What to Expect Once connected, the MCP server instructs Claude to: 1. **Call `rah_get_context` first** to understand your graph (hub nodes, dimensions, stats) 2. **Proactively identify valuable information** in conversations and offer to save it 3. **Search before creating** to avoid duplicates 4. **Require edge explanations** — every connection needs a reason You don't need to ask Claude to use your knowledge base — it will offer when it spots something worth saving. --- ## Example Usage Once connected, you can ask your AI assistant: ``` "What's in my knowledge graph?" "Search RA-H for what I wrote about product strategy" "Add this conversation summary to RA-H as a new node" "Find all nodes with the 'research' dimension" "Create an edge between node 123 and node 456" ``` --- ## Key Files | File | Purpose | |------|---------| | `apps/mcp-server-standalone/` | **Standalone server (direct SQLite, recommended)** | | `apps/mcp-server/server.js` | HTTP MCP server | | `apps/mcp-server/stdio-server.js` | STDIO bridge to HTTP server | --- ## Security - The MCP server only binds to `127.0.0.1` — localhost only - No authentication required (local access only) - All data persisted to `~/Library/Application Support/RA-H/db/rah.sqlite` --- ## Troubleshooting ### "Database not found" The MCP server auto-creates the database on first connection (v1.1.0+). If you're on an older version, run RA-OS once to create it: ```bash npm run dev ``` ### "Tools not showing" (npm package) 1. Make sure Node.js 18+ is installed: `node --version` 2. Try running manually: `npx ra-h-mcp-server` 3. Restart Claude Code ### "Connection refused" (HTTP method) 1. Make sure RA-OS is running: `npm run dev` 2. Check the port: `lsof -i :44145`