1. Conduid
  2. Developer Tools
  3. Server
MCP server · Developer Tools

Server

快速上手MCP

Unclaimed last commit 8 months ago devtools
34Low

Scored 11 days ago · breakdown

About Server

Server is an MCP server published by hfhfn in the Developer Tools category: 快速上手MCP.

The repository has 5 stars and 4 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/hfhfn/mcp_server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Server

Powered by Claude · Grounded in docs

I know everything about Server. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

README

使用uv管理python环境

  • uv启动mcp服务的python脚本
uv run --with mcp[cli] mcp run path/to/mcp.py
  • uvx启动mcp服务的python脚本
uvx --with pillow --with mcp[cli] fastmcp run path/to/mcp.py

启动单个mcp服务 sse和streamable-http两种模式的URL路径

# sse 模式
http://127.0.0.1:8000/sse  # 默认8000端口
http://host.docker.internal:8000/sse  # docker容器内访问
# streamable-http 模式
http://127.0.0.1:8000/mcp  # 默认8000端口
http://host.docker.internal:8000/mcp  # docker容器内访问

使用mcp工具的多种基本配置示例参考:

// 涉及3种模式:stdio,sse,streamable_http
{
  // streamable_http模式
  "mcpServers": {
    "math": {
      "transport": "streamable_http",
      "url": "http://127.0.0.1:8000/mcp"
    },
    // sse模式
    "weather": {
      "transport": "sse",
      "url": "http://127.0.0.1:8000/sse"
    },
    "12306-mcp": {
      "type": "sse",
      "url": "https://mcp.api-inference.modelscope.cn/sse/76ee2dbba8d74f"
    },
    "sequentialthinking": {
      "headers": {
        "Accept": "application/json, text/event-stream",
        "Authorization": "Bearer 0e51a8cd-e77f-072ec3f3d161"
      },
      "url": "https://mcp.api-inference.modelscope.cn/sse/bb19488b5bc049"
    },
    // 本地服务 stdio模式
    "quickchart-server": {
      "isActive": true,
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "@gongrzhe/quickchart-mcp-server"
      ],
      "name": "quickchart-server"
    },
    "excel-mcp-server": {
      "isActive": true,
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "--yes",
        "@zhiweixu/excel-mcp-server"
      ],
      "env": {
        "LOG_PATH": "C:\\Users\\username\\Desktop\\temp",
        "CACHE_MAX_AGE": "1",
        "CACHE_CLEANUP_INTERVAL": "4",
        "LOG_RETENTION_DAYS": "7",
        "LOG_CLEANUP_INTERVAL": "24"
      },
      "name": "excel-mcp-server"
    }
  }
}

STDIO 模式启动说明

如果需要在客户端以 stdio 模式启动本项目:

  1. 环境准备: 在项目根目录下运行以下命令,安装 MCP 命令行工具:
uv add "mcp[cli]"
  1. 启动配置: 在配置客户端时,使用 uv 作为命令,并配合 --directory 参数指定项目路径。
    • 命令: uv
    • 参数: ["--directory", "/Users/hfhfn/charmProjects/mcp_server/", "run", "main.py"]

README fetched from the repository 7 days ago. The original is authoritative.

Questions

About Server

How do I install Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 2 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Server still maintained?

The last commit was 8 months ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.