OpenMemory RAG MCP Server

MCP server for importing documents into OpenMemory RAG knowledge base. Supports file uploads, URL imports, and text content ingestion.

Features

• 📄 Import Files: PDF, DOCX, TXT, MD, HTML

• 🌐 Import URLs: Webpages, articles, documentation

• 📝 Import Text: Raw text content

• 🔍 Search: Query the knowledge base

Related MCP server: qdrant-mcp

Installation

npm install
npm run build

Configuration

Set environment variables:

export OPENMEMORY_URL="http://localhost:8080"
export OPENMEMORY_USER_ID="rag_user"

Usage

With Claude Desktop

Add to ~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "openmemory-rag": {
      "command": "node",
      "args": ["/path/to/openmemory-rag-mcp/dist/index.js"],
      "env": {
        "OPENMEMORY_URL": "http://localhost:8080",
        "OPENMEMORY_USER_ID": "my_knowledge_base"
      }
    }
  }
}

With Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "openmemory-rag": {
      "command": "node",
      "args": ["/path/to/openmemory-rag-mcp/dist/index.js"],
      "env": {
        "OPENMEMORY_URL": "http://localhost:8080"
      }
    }
  }
}

With Windsurf

Add to ~/.windsurf/mcp.json:

{
  "mcpServers": {
    "openmemory-rag": {
      "command": "node",
      "args": ["/path/to/openmemory-rag-mcp/dist/index.js"]
    }
  }
}

Available Tools

1. import_file

Import a local file into the knowledge base.

Example:

"Import the file /home/user/document.pdf into my knowledge base"

Parameters:

• file_path (required): Absolute path to the file

• user_id (optional): User ID for the knowledge base

• tags (optional): Array of tags

2. import_url

Import content from a URL.

Example:

"Import this article: https://example.com/article"

Parameters:

• url (required): URL to import

• user_id (optional): User ID

• tags (optional): Array of tags

3. import_text

Import raw text content.

Example:

"Save this to my knowledge base: [your text content]"

Parameters:

• content (required): Text content

• title (optional): Title for the content

• user_id (optional): User ID

• tags (optional): Array of tags

4. search_knowledge

Search the knowledge base.

Example:

"Search my knowledge base for information about Python"

Parameters:

• query (required): Search query

• user_id (optional): User ID to search within

• limit (optional): Maximum results (default: 5)

Prerequisites

• OpenMemory backend running on http://localhost:8080

• Node.js 18+

Quick Start

1. Start OpenMemory backend:

cd /path/to/OpenMemory/packages/openmemory-js
npm run dev

2. Build MCP server:

cd openmemory-rag-mcp
npm install
npm run build

3. Configure AI tool (see Usage section above)

4. Restart AI tool (Claude/Cursor/Windsurf)

5. Test:

"Import the file /home/user/notes.pdf"
"Search for Python programming"

Supported File Types

Example Workflow

User: "Import my research paper at /home/user/research.pdf"
AI: ✅ File imported successfully!
    Memory ID: abc-123
    Tokens: 5000
    Strategy: root-child
    Sections: 3

User: "What does my research paper say about machine learning?"
AI: 🔍 Found 2 results for "machine learning":
    1. [Score: 0.892] Machine learning is a subset of artificial intelligence...
    2. [Score: 0.845] The paper discusses various ML algorithms including...

Troubleshooting

MCP tools not showing up

• Ensure OpenMemory backend is running: curl http://localhost:8080/health

• Check MCP config file path is correct

• Restart AI tool after configuration

Import fails

• Verify file path is absolute

• Check file permissions

• Ensure OpenMemory backend is accessible

Search returns no results

• Verify user_id matches the one used during import

• Check if content was actually imported

• Try broader search terms

Development

# Watch mode
npm run watch

# Build
npm run build

# Run directly
npm start

License

MIT