What is the key difference between Ratary and MCP Local Rag?

Ratary belongs to the Knowledge & Memory category with local stdio execution, while MCP Local Rag belongs to the Knowledge & Memory category with local stdio execution.

How do I install Ratary or MCP Local Rag in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Ratary and MCP Local Rag free or paid?

Ratary operates under a Free / Open Source model (API Key required). MCP Local Rag operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Ratary lists 6 tools with 3 views and 1 GitHub stars. MCP Local Rag lists 9 tools with 3 views and 398 GitHub stars.

Can I use both Ratary and MCP Local Rag together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Ratary vs MCP Local Rag

In-depth architectural comparison of the Ratary and MCP Local Rag MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Ratary

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: API Key required

MCP Local Rag

Knowledge & Memory · Local stdio

Quality: 68/100 (Great) | Auth: No auth required

Verdict Summary: Choose Ratary if you need specialized Knowledge & Memory tools running via a local process. Choose MCP Local Rag if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Ratary when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: AUTH_SECRET, DATABASE_URL, SQL_PROVIDER, RATARY_BASE_URL, RATARY_API_KEY.
Primary tools included: Persistent versioned memory, Hybrid search and context assembly, Structured metadata and knowledge graphs.

Explore Ratary Details

Choose MCP Local Rag when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: BASE_DIR.
Primary tools included: .

Feature & Specification Comparison

Specification	Ratary ontorata Knowledge & Memory	MCP Local Rag shinpr Knowledge & Memory
Summary	Persistent coding memory for AI assistants — hybrid search, knowledge graph, token-efficient context. MCP stdio (28 tools), npm @ratary/mcp-server, optional remote Streamable HTTP. Self-host D1, Postgres, MariaDB, or Docker.	Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
Category & Scope

Tools & Capabilities Breakdown

Ratary Tools (6)

Persistent versioned memory

Hybrid search and context assembly

Structured metadata and knowledge graphs

28 MCP tools

Self-hosted SQL storage

Optional remote Streamable HTTP

MCP Local Rag Tools (9)

sync_start

Reconcile the index with all configured roots or one path

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Ratary Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ontorata-ratary": {
      "command": "npx",
      "args": [
        "-y",
        "@ratary/mcp-server@1.1.3"
      ],
      "env": {
        "AUTH_SECRET": "YOUR_AUTH_SECRET_HERE",
        "DATABASE_URL": "YOUR_DATABASE_URL_HERE",
        "SQL_PROVIDER": "YOUR_SQL_PROVIDER_HERE",
        "RATARY_BASE_URL": "YOUR_RATARY_BASE_URL_HERE",
        "RATARY_API_KEY": "YOUR_RATARY_API_KEY_HERE"
      }
    }
  }
}

MCP Local Rag Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "shinpr-mcp-local-rag": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-local-rag"
      ],
      "env": {
        "BASE_DIR": "YOUR_BASE_DIR_HERE"
      }
    }
  }
}

Frequently Asked Questions

Ratary is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, MCP Local Rag belongs to Knowledge & Memory using local stdio subprocess. Select Ratary when you need capabilities focused on knowledge & memory and MCP Local Rag when you require tools for knowledge & memory.

More alternatives to Ratary More alternatives to MCP Local Rag Knowledge & Memory category hub