.prompts vs ToughTongue AI

A side-by-side look at the .prompts and ToughTongue AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

.
.promptsConversational AI · Remote HTTP/SSE
.prompts, the home to all your AI prompts, everywhere you need them.39FairAuth: oauth 2.0
ToughTongue AI logoToughTongue AIConversational AI · Local subprocess (stdio)Create voice-agent scenarios, pull session analytics, place SIP calls, schedule meeting bots.47FairAuth: not declared

Verdict: choose .prompts for conversational ai work over a hosted endpoint; choose ToughTongue AI for conversational ai as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

.
Choose .prompts when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: OAuth 2.0.
Explore .prompts

ToughTongue AI logoChoose ToughTongue AI when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
Explore ToughTongue AI

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
.
.prompts
ToughTongue AI logoToughTongue AI
CategoryConversational AIConversational AI
Quality signal39/100 · Fair47/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthOAuth 2.0Not declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars—6
Directory activity 6 views 0 installs 0 upvotes 3 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

.prompts tools

No tool names declared yet. Check the project README from the listing page.

ToughTongue AI tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

.prompts

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "prompts": {
      "command": "npx",
      "args": [
        "-y",
        "prompts"
      ]
    }
  }
}

ToughTongue AI

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "toughtongue-ai": {
      "command": "npx",
      "args": [
        "-y",
        "plugins"
      ]
    }
  }
}

Frequently asked questions

.prompts is categorized under Conversational AI and uses a remote HTTP/SSE transport. ToughTongue AI belongs to Conversational AI and uses a local stdio subprocess. Pick .prompts for conversational ai work and ToughTongue AI for conversational ai.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

.prompts has no declared pricing — check the project's own site. Auth: oauth 2.0. ToughTongue AI has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add prompts and toughtongue-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, .prompts has a quality signal of 39/100 (Fair) with 6 views, 0 installs and 0 GitHub stars. ToughTongue AI has 47/100 (Fair) with 3 views, 0 installs and 6 GitHub stars.