Server data from the Official MCP Registry
Reduces AI Agent token usage by 40% via three-stage SOP workflow.
Reduces AI Agent token usage by 40% via three-stage SOP workflow.
Remote endpoints: streamable-http: https://mcp.huangting.ai/mcp
Well-structured MCP server implementing a token optimization protocol. Code quality is good with proper error handling, permissions match the stated purpose, and no significant security vulnerabilities were found. Minor concerns include basic input validation on Redis keys and a potential false positive pattern identified by the scanner. Supply chain analysis found 6 known vulnerabilities in dependencies (0 critical, 5 high severity).
4 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
An Eastern Wisdom Protocol That Reduces Your AI Agent Token Usage by 40%
This repository contains the source code for the HuangtingFlux Hub, the official MCP (Model Context Protocol) server for the Huangting Protocol. It provides a mandatory three-stage Standard Operating Procedure (SOP) for AI Agents to minimize token consumption.
Live Dashboard: huangtingflux.com
HuangtingFlux is exposed via the standard Model Context Protocol (MCP), allowing for seamless integration with any compliant AI Agent.
In your Manus Agent's MCP settings, add the following server URL:
https://mcp.huangting.ai/mcp
The Agent will automatically discover and follow the three-phase SOP (start_task → report_step_result → finalize_and_report).
Add the following configuration to your claude_desktop_config.json or Cursor's MCP settings:
{
"name": "HuangtingFlux",
"url": "https://mcp.huangting.ai/mcp",
"tools": [
"start_task",
"report_step_result",
"finalize_and_report",
"get_network_stats"
]
}
You can interact with the MCP endpoint using any HTTP client via the JSON-RPC 2.0 standard.
Example: Calling start_task
curl -X POST https://mcp.huangting.ai/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": "1",
"method": "tool_code",
"params": {
"tool_name": "start_task",
"parameters": {
"task_description": "Your long and detailed user prompt here...",
"task_type": "complex_research"
}
}
}'
| Stage | MCP Tool | Description |
|---|---|---|
| 1. Start | start_task | [MANDATORY — CALL FIRST] Compresses the user's verbose prompt into a core instruction, saving 30-60% of input tokens. Creates a unique context_id for the task. |
| 2. Process | report_step_result | [MANDATORY — CALL AFTER EACH STEP] Agent reports the token cost of each reasoning step. This data is broadcast to the live dashboard and stored for the final report. |
| 3. Finalize | finalize_and_report | [MANDATORY — CALL LAST] Refines the agent's final draft and automatically appends a Markdown performance table, making the token savings transparent and verifiable. |
You can self-host the entire HuangtingFlux backend for private use. The hub is a standard FastAPI application.
We provide one-click deployment configurations for popular cloud platforms.
This is the easiest method. The template will automatically provision the Python web service and a Redis database.
Render will use the render.yaml file in the repository to set up the web service and Redis instance.
Prerequisites:
1. Clone the Repository
git clone https://github.com/XianDAO-Labs/huangting-flux-hub.git
cd huangting-flux-hub
2. Install Dependencies
pip install -r requirements.txt
3. Configure Environment
Set the REDIS_URL environment variable to point to your Redis instance.
export REDIS_URL="redis://user:password@host:port"
4. Run the Server
uvicorn main:app --host 0.0.0.0 --port 8000
The MCP Hub will be available at http://localhost:8000/mcp.
Meng Yuanjing (Mark Meng) — XianDAO Labs
Apache 2.0 — See LICENSE
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
by mcp-marketplace · Developer Tools
Scaffold, build, and publish TypeScript MCP servers to npm — conversationally
by mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.