ChipsAI MCP Server vs ToughTongue AI

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

ChipsAI MCP Server logoChipsAI MCP ServerConversational AI · Local subprocess (stdio)MCP server for ChipsAI — manage chatbots, conversations, and AI models47FairAuth: not declaredToughTongue 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 ChipsAI MCP Server for conversational ai work as a local process; 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?

ChipsAI MCP Server logoChoose ChipsAI MCP Server when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: CHIPSAI_API_KEY, CHIPSAI_API_URL, CHIPSAI_USERNAME, CHIPSAI_PASSWORD.
  • You want tools like list_chatbots, get_chatbot, create_chatbot.
Explore ChipsAI MCP Server

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.

SpecChipsAI MCP Server logoChipsAI MCP ServerToughTongue AI logoToughTongue AI
CategoryConversational AIConversational AI
Quality signal47/100 · Fair47/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsCHIPSAI_API_KEYCHIPSAI_API_URLCHIPSAI_USERNAMECHIPSAI_PASSWORDNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars06
Directory activity 1 views 0 installs 0 upvotes 3 views 0 installs 0 upvotes
Tools25Not listed

Tools & capabilities

ChipsAI MCP Server tools 25

  • list_chatbotsList all chatbots for the authenticated user
  • get_chatbotGet full chatbot details (prompt, model, colors, etc.)
  • create_chatbotCreate a new chatbot (returns embed script tag)
  • update_chatbotUpdate chatbot fields (name, prompt, model, theme, colors, etc.)
  • delete_chatbotSoft-delete (deactivate) a chatbot
  • get_chatbot_configGet public widget configuration
  • get_chatbot_analyticsGet analytics: messages, sessions, daily stats, devices, countries
  • upload_documentUpload PDF/DOC/DOCX to a chatbot's knowledge base (LlamaParse)
  • list_conversationsList conversations, optionally filtered by chatbot
  • create_conversationCreate a new conversation
  • get_conversationGet conversation details
  • update_conversationUpdate conversation title
  • +13 more on 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.

ChipsAI MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "chipsai-mcp-server": {
      "command": "uvx",
      "args": [
        "chipsai-mcp"
      ],
      "env": {
        "CHIPSAI_API_KEY": "YOUR_CHIPSAI_API_KEY_HERE",
        "CHIPSAI_API_URL": "YOUR_CHIPSAI_API_URL_HERE",
        "CHIPSAI_USERNAME": "YOUR_CHIPSAI_USERNAME_HERE",
        "CHIPSAI_PASSWORD": "YOUR_CHIPSAI_PASSWORD_HERE"
      }
    }
  }
}

ToughTongue AI

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

Frequently asked questions

ChipsAI MCP Server is categorized under Conversational AI and uses a local stdio subprocess. ToughTongue AI belongs to Conversational AI and uses a local stdio subprocess. Pick ChipsAI MCP Server 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.

ChipsAI MCP Server has no declared pricing — check the project's own site. 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 chipsai-mcp-server and toughtongue-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, ChipsAI MCP Server has a quality signal of 47/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. ToughTongue AI has 47/100 (Fair) with 3 views, 0 installs and 6 GitHub stars.