ra-h-os/apps/mcp-server-standalone

RA-H MCP Server

Connect Claude Code and Claude Desktop to your RA-H knowledge base. This package talks directly to an existing RA-H SQLite database.

Install

npx --yes ra-h-mcp-server@2.1.2

Run RA-H once first so the database exists, then use the MCP server from any client.

Important contract:

• pinned package version recommended
• standalone MCP reads and writes node data directly
• standalone MCP does not own chunking, embeddings, or live schema migration on an existing DB

Configure Claude Code / Claude Desktop

Add to your Claude config (~/.claude.json or Claude Desktop settings):

{
  "mcpServers": {
    "ra-h": {
      "command": "npx",
      "args": ["--yes", "ra-h-mcp-server@2.1.2"]
    }
  }
}

Restart Claude fully. Done.

If you publish a newer MCP release and need this client to pick it up immediately, bump the pinned version here and restart Claude. Do not assume plain npx ra-h-mcp-server always refreshes instantly.

Requirements

• Node.js 18-22 LTS recommended
• an existing RA-H database at ~/Library/Application Support/RA-H/db/rah.sqlite
• run the RA-H app at least once before using the standalone MCP server

Environment Variables

Variable	Default	Description
RAH_DB_PATH	~/Library/Application Support/RA-H/db/rah.sqlite	Database path

What To Expect

Once connected, the agent should:

• use queryNodes for explicit node lookup when the user is trying to find a specific existing thing
• use retrieveQueryContext when graph context is helpful for a broader task, question, or request
• use getContext only for orientation when high-level graph state would actually help
• treat context as optional by default
• search before creating to avoid duplicates
• propose likely edges first, then create them only after explicit confirmation
• read skills for more complex tasks

Source Processing

• the standalone MCP server stores source text on the node
• it does not split source into chunks or generate embeddings itself
• the RA-H app owns chunking and embedding when the app is running
• if the app is closed, writes still land in nodes.source, and the app processes them later

Recommended Agent Memory Line

If you use external agents through this MCP server, you may add one short instruction line to your agent memory file (AGENTS.md, CLAUDE.md, etc.) as optional reinforcement:

Retrieve relevant RA-H context before substantive work, search before creating, and keep durable writeback prompts brief and confirmation-gated.

RA-H should still work well without this line. The MCP tools, server instructions, skills, and docs are meant to carry the core behavior on their own.

Do not create contradictory instruction files. Prefer one short reinforcement line over a pile of overlapping guidance.

Available Tools

Tool	Description
getContext	Get graph overview - stats, hub nodes, recent activity
retrieveQueryContext	Pull relevant graph context for a broader current-turn task
createNode	Create a new node
queryNodes	Search nodes by keyword
getNodesById	Load nodes by ID
updateNode	Update an existing node
createEdge	Create a confirmed connection between nodes
updateEdge	Update an edge explanation after explicit confirmation
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
sqliteQuery	Execute read-only SQL queries (SELECT / WITH / PRAGMA)

Verification tip:

• after config changes, fully restart the client and confirm you can see tools like queryNodes, retrieveQueryContext, and createNode

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_metadata is 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?

Edge Rule

• external agents should propose likely edge candidates first
• createEdge is the execution tool after explicit user confirmation
• agent-driven edge creation should always include a clear explanation sentence

Skills

Skills are editable and shared across internal and 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
• automatic chunking or embedding while the app is closed

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