What is the key difference between Run.pay and DeskCrew?

Run.pay belongs to the Finance & Fintech category with local stdio execution, while DeskCrew belongs to the Finance & Fintech category with cloud HTTP/SSE execution.

How do I install Run.pay or DeskCrew 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 Run.pay and DeskCrew free or paid?

Run.pay operates under a Free / Open Source model (No auth required). DeskCrew operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Run.pay lists 0 tools with 0 views and 0 GitHub stars. DeskCrew lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Run.pay and DeskCrew 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 Run.pay or DeskCrew 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 Run.pay and DeskCrew free to use, or do they require API keys?

Run.pay is listed under a Free / Open Source model with No auth required . DeskCrew 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 Run.pay and DeskCrew at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both run-pay and deskcrew 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, Run.pay has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. DeskCrew holds a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Run.pay vs DeskCrew

In-depth architectural comparison of the Run.pay and DeskCrew 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

Run.pay

Finance & Fintech · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

DeskCrew

Finance & Fintech · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Run.pay if you need specialized Finance & Fintech tools running via a local process. Choose DeskCrew if your workspace requires Finance & Fintech integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Run.pay when:

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

Explore Run.pay Details

Choose DeskCrew when:

You need dedicated capabilities in the Finance & Fintech domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore DeskCrew Details

Feature & Specification Comparison

Specification	R Run.pay Finance & Fintech	D DeskCrew Finance & Fintech
Summary	Stripe-native marketplace where AI agents discover and pay per call for API services.	Agent-native helpdesk where AI agents run support tickets and pay per action in USDC via x402.
Category & Scope	Finance & Fintech	Finance & Fintech
Quality signal

Tools & Capabilities Breakdown

Run.pay Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

DeskCrew Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

Run.pay Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "run-pay": {
      "command": "npx",
      "args": [
        "-y",
        "run-pay"
      ]
    }
  }
}

DeskCrew Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "deskcrew": {
      "url": "https://deskcrew.io"
    }
  }
}

Frequently Asked Questions

Run.pay is categorized under Finance & Fintech and uses a local stdio subprocess. In contrast, DeskCrew belongs to Finance & Fintech using remote streaming HTTP/SSE transport. Select Run.pay when you need capabilities focused on finance & fintech and DeskCrew when you require tools for finance & fintech.

More alternatives to Run.pay More alternatives to DeskCrew Finance & Fintech category hub Canonical compare URL

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