What is the key difference between Marea — Storefront Backend for Agents and Analook — Competitor Intelligence?

Marea — Storefront Backend for Agents belongs to the Finance & Fintech category with local stdio execution, while Analook — Competitor Intelligence belongs to the Finance & Fintech category with cloud HTTP/SSE execution.

How do I install Marea — Storefront Backend for Agents or Analook — Competitor Intelligence 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 Marea — Storefront Backend for Agents and Analook — Competitor Intelligence free or paid?

Marea — Storefront Backend for Agents operates under a Free / Open Source model (No auth required). Analook — Competitor Intelligence operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Marea — Storefront Backend for Agents lists 0 tools with 0 views and 0 GitHub stars. Analook — Competitor Intelligence lists 0 tools with 0 views and 105 GitHub stars.

Can I use both Marea — Storefront Backend for Agents and Analook — Competitor Intelligence 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.

What is the main functional difference between Marea — Storefront Backend for Agents and Analook — Competitor Intelligence?

Marea — Storefront Backend for Agents is categorized under Finance & Fintech and uses a local stdio subprocess . In contrast, Analook — Competitor Intelligence belongs to Finance & Fintech using remote streaming HTTP/SSE transport . Select Marea — Storefront Backend for Agents when you need capabilities focused on finance & fintech and Analook — Competitor Intelligence when you require tools for finance & fintech .

How do I install Marea — Storefront Backend for Agents or Analook — Competitor Intelligence 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 Marea — Storefront Backend for Agents and Analook — Competitor Intelligence free to use, or do they require API keys?

Marea — Storefront Backend for Agents is listed under a Free / Open Source model with No auth required . Analook — Competitor Intelligence 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 Marea — Storefront Backend for Agents and Analook — Competitor Intelligence at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both marea-storefront-backend-for-agents and analook-competitor-intelligence 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, Marea — Storefront Backend for Agents has a Quality Score of 28 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Analook — Competitor Intelligence holds a Quality Score of 45 /100 ( Fair ) with 0 views, 0 installs, and 105 GitHub stars.

Marea — Storefront Ba… vs Analook — Competitor…

Marea — Storefront Ba… vs Analook — Competitor… | AllMCPs

Feature & Specification Comparison

Specification	M Marea — Storefront Backend for Agents Finance & Fintech	A Analook — Competitor Intelligence Finance & Fintech
Summary	Hosted storefront backend for AI agents: products, cart, Stripe + PayPal, delivery, order tracking.	Competitor intelligence for AI agents — SEO, traffic, social, Product Hunt, pricing, AI insights.
Category & Scope	Finance & Fintech	Finance & Fintech
Quality signal	28/100 (Emerging)	45/100 (Fair)
Transport Protocol	Local Subprocess (stdio)	Remote HTTP/SSE
Auth Requirement	No auth required	No auth required
Pricing Model	Free / Open Source	Free / Open Source
Required Env Vars	None required	None required
Compatible Clients	Claude DesktopCursorWindsurfClineVS Code	Claude DesktopCursorWindsurfClineVS Code
Install path signal	`npx · low`	`Remote (HTTP/SSE) · high`
Engagement & Health	0 views 0 copies 0 upvotes	0 views 0 copies 0 upvotes 105 stars
Verified / Official	Community Listing	Community Listing
Open full listing	View Marea — Storefront Backend for Agents Listing	View Analook — Competitor Intelligence Listing

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).

Marea — Storefront Backend for Agents Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "marea-storefront-backend-for-agents": {
      "command": "npx",
      "args": [
        "-y",
        "marea-storefront-backend-for-agents"
      ]
    }
  }
}

Analook — Competitor Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "analook-competitor-intelligence": {
      "url": "https://www.analook.com/assets/favicon-512x512.png"
    }
  }
}

Marea — Storefront Backend for Agents vs Analook — Competitor Intelligence

At a Glance & Executive Verdict

Which MCP Server Should You Choose?

Choose Marea — Storefront Backend for Agents when:

Choose Analook — Competitor Intelligence when:

Feature & Specification Comparison

Tools & Capabilities Breakdown

Marea — Storefront Backend for Agents Tools (0)

Analook — Competitor Intelligence Tools (0)

Ready-to-Paste Client Configurations

Frequently Asked Questions

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