What is the key difference between Ratary and Cognee?

Ratary belongs to the Knowledge & Memory category with local stdio execution, while Cognee belongs to the Knowledge & Memory category with local stdio execution.

How do I install Ratary or Cognee 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 Cognee free or paid?

Ratary operates under a Free / Open Source model (API Key required). Cognee operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

Ratary lists 6 tools with 3 views and 1 GitHub stars. Cognee lists 6 tools with 3 views and 30,641 GitHub stars.

Can I use both Ratary and Cognee 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 Cognee

In-depth architectural comparison of the Ratary and Cognee 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

Cognee

Knowledge & Memory · Local stdio

Quality: 57/100 (Good) | Auth: API Key required

Verdict Summary: Choose Ratary if you need specialized Knowledge & Memory tools running via a local process. Choose Cognee 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 Cognee when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: LLM_API_KEY.
Primary tools included: Persistent and session-scoped memory, Graph, vector, and code-aware retrieval, Text and code ingestion.

Feature & Specification Comparison

Specification	Ratary ontorata Knowledge & Memory	Cognee topoteretes 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.	Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Category & Scope	Knowledge & Memory

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

Cognee Tools (6)

Persistent and session-scoped memory

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"
      }
    }
  }
}

Cognee Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "topoteretes-cognee": {
      "command": "uvx",
      "args": [
        "cognee"
      ],
      "env": {
        "LLM_API_KEY": "YOUR_LLM_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

More alternatives to Ratary More alternatives to Cognee Knowledge & Memory category hub