- add external retrieval and confirmation-gated writeback tools across MCP surfaces - port direct-search-first retrieval support and supporting ranking/query updates - update MCP docs and skills to treat agent memory files as optional reinforcement Generated with Claude Code
RA-H MCP Server
Connect Claude Code and Claude Desktop to your RA-H knowledge base. Direct SQLite access - works without the RA-H app running.
Install
npx ra-h-mcp-server
That's it. No manual setup required.
Configure Claude Code / Claude Desktop
Add to your Claude config (~/.claude.json or Claude Desktop settings):
{
"mcpServers": {
"ra-h": {
"command": "npx",
"args": ["ra-h-mcp-server"]
}
}
}
Restart Claude. Done.
Requirements
- Node.js 18+
- Database is created automatically at
~/Library/Application Support/RA-H/db/rah.sqliteon first connection
Environment Variables
| Variable | Default | Description |
|---|---|---|
RAH_DB_PATH |
~/Library/Application Support/RA-H/db/rah.sqlite | Database path |
What to Expect
Once connected, Claude will:
- Use
queryNodesfor explicit node lookup when the user is trying to find a specific existing thing - Use
retrieveQueryContextwhen graph context is helpful for a broader task, question, or request - Use
getContextonly for orientation when high-level graph state would actually help - Proactively capture knowledge — when a new insight, decision, person, or reference surfaces, it proposes a specific node (title, description, optional context) so you can approve with minimal friction
- Read skills for complex tasks — skills are editable and shared across internal + external agents
- Search before creating to avoid duplicates
Recommended Agent Memory Line
If you use external agents through this MCP server, add one short instruction line to your agent memory file (AGENTS.md, CLAUDE.md, etc.):
Retrieve relevant context from RA-H before substantive work, and only suggest writing durable context back when it is clearly valuable and the user can confirm yes.
Keep the writeback prompt brief. A good pattern is:
Add "X" as a node?
Available Tools
| Tool | Description |
|---|---|
getContext |
Get graph overview — stats, contexts, recent activity |
retrieveQueryContext |
Pull relevant graph context for a broader current-turn task |
createNode |
Create a new node |
writeContext |
Save one confirmed durable context node after explicit user approval |
queryNodes |
Search nodes by keyword |
queryContexts |
List or inspect contexts |
getNodesById |
Load nodes by ID (includes chunk + metadata) |
updateNode |
Update an existing node |
createEdge |
Create connection between nodes |
updateEdge |
Update an edge explanation |
queryEdge |
Find edges for a node |
listSkills |
List available skills |
readSkill |
Read a skill by name |
writeSkill |
Create or update a skill |
deleteSkill |
Delete a skill |
searchContentEmbeddings |
Search through source content (transcripts, books, articles) |
sqliteQuery |
Execute read-only SQL queries (SELECT/WITH/PRAGMA) |
Node Metadata Contract
When createNode or updateNode includes metadata, prefer the canonical shape:
{
"type": "website | youtube | pdf | tweet | note | chat | ...",
"state": "processed | not_processed",
"captured_method": "quick_add_note | website_extract | ...",
"captured_by": "human | agent",
"source_metadata": {}
}
Rules:
source_metadatais for small factual source-specific fields only- metadata updates merge with the existing object; they do not replace the full blob
- use
captured_by = "human"for direct user creation and user-requested agent capture - reserve
captured_by = "agent"for autonomous/background creation only
Writeback Rule
- Do not ask to save every moderately useful point from the conversation.
- Only suggest a save when the context is unusually durable and valuable.
- Keep the ask terse and concrete, for example:
Add "X" as a node? - Never call
writeContextunless the user has explicitly said yes.
Skills
Skills are detailed instruction sets that teach agents how to work with your knowledge base. The default seeded skills are editable and shared by internal + external agents.
Skills are stored at ~/Library/Application Support/RA-H/skills/ and shared with the main app.
What's NOT Included
This is a lightweight CRUD server. Advanced features are handled by the main app:
- Embedding generation
- AI-powered edge inference
- Content extraction (URL, YouTube, PDF)
- Real-time SSE events
Testing
# Test database connection
node -e "const {initDatabase,query}=require('./services/sqlite-client');initDatabase();console.log(query('SELECT COUNT(*) as c FROM nodes')[0].c,'nodes')"
# Run the server
node index.js