Conversational AI Bot

Verified Integration

Author: @spawning•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Conversational AI Bot to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "conversational-ai-bot": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-conversational-ai-bot"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Build Streamlit-based conversational bots leveraging LangGraph's prebuilt agents for data access.

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Conversational AI Bot

Data is typically stored in SQLite and accessed through a FastAPI server. The bot uses LangGraph agents, connected via `langchain_mcp_adapters` to an MCP Client/Server setup, to query and process this data efficiently.

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