mcp-server-deerflow-kinthai 0.1.0

MCP Server that exposes DeerFlow deep capabilities (research, analysis, visualization) via standard Model Context Protocol

mcp-server-deerflow-kinthai

MCP Server that exposes DeerFlow deep capabilities via standard Model Context Protocol.

Any MCP client (OpenClaw, Claude Desktop, Cursor, etc.) can discover and invoke DeerFlow skills through this server.

Tools

Tool	Description
deep_research	Multi-source web research with cross-verification
data_analysis	Data analysis with DuckDB (CSV/Excel)
chart_visualization	26+ chart types (line, bar, pie, scatter, sankey, etc.)
ppt_generation	PowerPoint presentation generation
image_generation	AI image generation
consulting_analysis	Business analysis (SWOT, Porter's Five Forces, etc.)

Quick Start

# Install
pip install mcp-server-deerflow-kinthai

# Run (requires a running DeerFlow instance)
export DEERFLOW_LANGGRAPH_URL=http://localhost:2024
mcp-server-deerflow-kinthai

The server starts on port 8808 with SSE transport at /sse.

Configuration

Environment Variables

Variable	Default	Description
DEERFLOW_LANGGRAPH_URL	http://localhost:2024	DeerFlow LangGraph server URL
DEERFLOW_GATEWAY_URL	http://localhost:8001	DeerFlow Gateway API URL (for artifact downloads)

OpenClaw

{
  "mcp": {
    "servers": {
      "deerflow-kinthai": {
        "url": "http://localhost:8808/sse"
      }
    }
  }
}

Claude Desktop

{
  "mcpServers": {
    "deerflow-kinthai": {
      "command": "mcp-server-deerflow-kinthai"
    }
  }
}

Mount in Existing App

from fastapi import FastAPI
from mcp_server_deerflow_kinthai.server import create_starlette_app

app = FastAPI()
app.mount("/mcp", create_starlette_app())

Development

git clone https://github.com/kinthaiofficial/mcp-server-deerflow-kinthai
cd mcp-server-deerflow-kinthai
pip install -e ".[dev]"
pytest

License

MIT — KinthAI