What is the key difference between Baserow and Makuri Showcase (CogniLedger)?

Baserow belongs to the Databases category with cloud HTTP/SSE execution, while Makuri Showcase (CogniLedger) belongs to the Databases category with local stdio execution.

How do I install Baserow or Makuri Showcase (CogniLedger) 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 Baserow and Makuri Showcase (CogniLedger) free or paid?

Baserow operates under a Free / Open Source model (API Key required). Makuri Showcase (CogniLedger) operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Baserow lists 6 tools with 2 views and 5,562 GitHub stars. Makuri Showcase (CogniLedger) lists 11 tools with 0 views and 0 GitHub stars.

Can I use both Baserow and Makuri Showcase (CogniLedger) 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.

How do I install Baserow or Makuri Showcase (CogniLedger) in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Baserow and Makuri Showcase (CogniLedger) free to use, or do they require API keys?

Baserow is listed under a Free / Open Source model with API Key required . Makuri Showcase (CogniLedger) operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Baserow and Makuri Showcase (CogniLedger) at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both bram2w-baserow and makuri-showcase-cogniledger as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Baserow has a Quality Score of 52 /100 ( Good ) with 2 views, 0 installs, and 5,562 GitHub stars. Makuri Showcase (CogniLedger) holds a Quality Score of 52 /100 ( Good ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Baserow vs Makuri Showcase (CogniLedger)

In-depth architectural comparison of the Baserow and Makuri Showcase (CogniLedger) 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

Baserow

Databases · Remote HTTP/SSE

Quality: 52/100 (Good) | Auth: API Key required

Makuri Showcase (CogniLedger)

Databases · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Verdict Summary: Choose Baserow if you need specialized Databases tools running via a hosted cloud SSE transport. Choose Makuri Showcase (CogniLedger) if your workspace requires Databases integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Baserow when:

You need dedicated capabilities in the Databases domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: BASEROW_DATABASE_URL, BASEROW_SECRET_KEY, BASEROW_REDIS_URL, BASEROW_EMAIL_HOST, BASEROW_EMAIL_PORT, BASEROW_EMAIL_USER, BASEROW_EMAIL_PASSWORD.
Primary tools included: Spreadsheet-style database with CRUD operations on tables and rows, Built-in AI assistant for natural language database and workflow creation, Support for automations and custom dashboards.

Explore Baserow Details

Choose Makuri Showcase (CogniLedger) when:

You need dedicated capabilities in the Databases domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: .

Feature & Specification Comparison

Specification	Baserow bram2w Databases	M Makuri Showcase (CogniLedger) Databases
Summary	Baserow database integration with table search, list, and row create, read, update, and delete capabilities.	Public MCP server for Makuri, an EU-compliant AI tutoring platform for immigrant children.
Category & Scope	Databases	Databases
Quality signal

Tools & Capabilities Breakdown

Baserow Tools (6)

Spreadsheet-style database with CRUD operations on tables and rows

Built-in AI assistant for natural language database and workflow creation

Support for automations and custom dashboards

Enterprise-grade security with GDPR, HIPAA, and SOC 2 Type II compliance

API-first and headless architecture for integration

Multiple deployment options including Docker, Helm, and cloud platforms

Makuri Showcase (CogniLedger) Tools (11)

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).

Baserow Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "bram2w-baserow": {
      "url": "https://baserow.io"
    }
  }
}

Makuri Showcase (CogniLedger) Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "makuri-showcase-cogniledger": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

Frequently Asked Questions

Baserow is categorized under Databases and uses a remote streaming HTTP/SSE transport. In contrast, Makuri Showcase (CogniLedger) belongs to Databases using local stdio subprocess. Select Baserow when you need capabilities focused on databases and Makuri Showcase (CogniLedger) when you require tools for databases.

More alternatives to Baserow More alternatives to Makuri Showcase (CogniLedger)Databases category hub