mcp-server-deerflow-kinthai

# mcp-server-deerflow-kinthai MCP Server that exposes [DeerFlow](https://github.com/bytedance/deer-flow) deep capabilities via standard [Model Context Protocol](https://modelcontextprotocol.io/). 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 ```bash # 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 ```json { "mcp": { "servers": { "deerflow-kinthai": { "url": "http://localhost:8808/sse" } } } } ``` ### Claude Desktop ```json { "mcpServers": { "deerflow-kinthai": { "command": "mcp-server-deerflow-kinthai" } } } ``` ## Mount in Existing App ```python from fastapi import FastAPI from mcp_server_deerflow_kinthai.server import create_starlette_app app = FastAPI() app.mount("/mcp", create_starlette_app()) ``` ## Development ```bash git clone https://github.com/kinthaiofficial/mcp-server-deerflow-kinthai cd mcp-server-deerflow-kinthai pip install -e ".[dev]" pytest ``` #…