What is the key difference between AutoRFP.ai and Tolstoy Library?

AutoRFP.ai belongs to the Developer Tools category with cloud HTTP/SSE execution, while Tolstoy Library belongs to the Developer Tools category with cloud HTTP/SSE execution.

How do I install AutoRFP.ai or Tolstoy Library 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 AutoRFP.ai and Tolstoy Library free or paid?

AutoRFP.ai operates under a Free / Open Source model (No auth required). Tolstoy Library operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

AutoRFP.ai lists 0 tools with 0 views and 0 GitHub stars. Tolstoy Library lists 0 tools with 1 views and 0 GitHub stars.

Can I use both AutoRFP.ai and Tolstoy Library 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 AutoRFP.ai or Tolstoy Library 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 AutoRFP.ai and Tolstoy Library free to use, or do they require API keys?

AutoRFP.ai is listed under a Free / Open Source model with No auth required . Tolstoy Library 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 AutoRFP.ai and Tolstoy Library at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both autorfp-ai and tolstoy-library 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, AutoRFP.ai has a Quality Score of 37 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Tolstoy Library holds a Quality Score of 42 /100 ( Fair ) with 1 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

AutoRFP.ai vs Tolstoy Library

In-depth architectural comparison of the AutoRFP.ai and Tolstoy Library 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

AutoRFP.ai

Developer Tools · Remote HTTP/SSE

Quality: 37/100 (Fair) | Auth: No auth required

Tolstoy Library

Developer Tools · Remote HTTP/SSE

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

Verdict Summary: Choose AutoRFP.ai if you need specialized Developer Tools tools running via a hosted cloud SSE transport. Choose Tolstoy Library if your workspace requires Developer Tools integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose AutoRFP.ai when:

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

Explore AutoRFP.ai Details

Choose Tolstoy Library when:

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

Explore Tolstoy Library Details

Feature & Specification Comparison

Specification	AutoRFP.ai Developer Tools	T Tolstoy Library Developer Tools
Summary	Search AutoRFP.ai projects, requirements, content library, and tags for Q&A and analytics.	Browse, search, rename, and favorite your Tolstoy media library from any AI client.
Category & Scope	Developer Tools	Developer Tools
Quality signal

Tools & Capabilities Breakdown

AutoRFP.ai Tools (0)

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

Tolstoy Library 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).

AutoRFP.ai Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "autorfp-ai": {
      "url": "https://api.autorfp.ai/mcp"
    }
  }
}

Tolstoy Library Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "tolstoy-library": {
      "url": "https://platform.gotolstoy.com/settings/mcp?server=library"
    }
  }
}

Frequently Asked Questions

AutoRFP.ai is categorized under Developer Tools and uses a remote streaming HTTP/SSE transport. In contrast, Tolstoy Library belongs to Developer Tools using remote streaming HTTP/SSE transport. Select AutoRFP.ai when you need capabilities focused on developer tools and Tolstoy Library when you require tools for developer tools.

More alternatives to AutoRFP.ai More alternatives to Tolstoy Library Developer Tools category hub