World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
MCP server that loads and serves skills from a mounted directory with hot reload.
选择你使用的 AI 应用,然后复制设置。
通过 1/2 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要 MCP Skills Server 的密钥(在开发者网站创建) · 需要先在电脑上安装 Docker(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"skill-hub": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_SKILLS_DIR",
"-e",
"MCP_SKILLS_HOT_RELOAD",
"-e",
"MCP_SKILLS_LOG_LEVEL",
"docker.io/srprasanna/mcp-skill-hub:1.0.0"
],
"env": {
"MCP_SKILLS_DIR": "your-value",
"MCP_SKILLS_HOT_RELOAD": "your-value",
"MCP_SKILLS_LOG_LEVEL": "your-value"
}
}
}
}只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 MCP Skills Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 MCP Skills Server,或回答中出现 MCP Skills Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 MCP Skills Server
MCP Skills Server 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 MCP Skills Server 的应用
B · 其他 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要 MCP Skills Server 的密钥(在开发者网站创建) · 需要先在电脑上安装 Docker(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user skill-hub --env MCP_SKILLS_DIR=your-value --env MCP_SKILLS_HOT_RELOAD=your-value --env MCP_SKILLS_LOG_LEVEL=your-value -- docker run -i --rm -e MCP_SKILLS_DIR -e MCP_SKILLS_HOT_RELOAD -e MCP_SKILLS_LOG_LEVEL docker.io/srprasanna/mcp-skill-hub:1.0.0按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
应能看到 MCP Skills Server 在列表中并显示已连接
用 MCP Skills Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 MCP Skills Server,或回答中出现 MCP Skills Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要 MCP Skills Server 的密钥(在开发者网站创建) · 需要先在电脑上安装 Docker(只需一次)
在 MCP Skills Server 的设置中,MCP_SKILLS_DIR, MCP_SKILLS_HOT_RELOAD, MCP_SKILLS_LOG_LEVEL 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 MCP Skills Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 MCP Skills Server,或回答中出现 MCP Skills Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要 MCP Skills Server 的密钥(在开发者网站创建) · 需要先在电脑上安装 Docker(只需一次)
在 MCP Skills Server 的设置中,MCP_SKILLS_DIR, MCP_SKILLS_HOT_RELOAD, MCP_SKILLS_LOG_LEVEL 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 MCP Skills Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 MCP Skills Server,或回答中出现 MCP Skills Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --scope user skill-hub --env MCP_SKILLS_DIR=your-value --env MCP_SKILLS_HOT_RELOAD=your-value --env MCP_SKILLS_LOG_LEVEL=your-value -- docker run -i --rm -e MCP_SKILLS_DIR -e MCP_SKILLS_HOT_RELOAD -e MCP_SKILLS_LOG_LEVEL docker.io/srprasanna/mcp-skill-hub:1.0.0Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"skill-hub": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_SKILLS_DIR",
"-e",
"MCP_SKILLS_HOT_RELOAD",
"-e",
"MCP_SKILLS_LOG_LEVEL",
"docker.io/srprasanna/mcp-skill-hub:1.0.0"
],
"env": {
"MCP_SKILLS_DIR": "your-value",
"MCP_SKILLS_HOT_RELOAD": "your-value",
"MCP_SKILLS_LOG_LEVEL": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"skill-hub": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_SKILLS_DIR",
"-e",
"MCP_SKILLS_HOT_RELOAD",
"-e",
"MCP_SKILLS_LOG_LEVEL",
"docker.io/srprasanna/mcp-skill-hub:1.0.0"
],
"env": {
"MCP_SKILLS_DIR": "your-value",
"MCP_SKILLS_HOT_RELOAD": "your-value",
"MCP_SKILLS_LOG_LEVEL": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"skill-hub": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_SKILLS_DIR",
"-e",
"MCP_SKILLS_HOT_RELOAD",
"-e",
"MCP_SKILLS_LOG_LEVEL",
"docker.io/srprasanna/mcp-skill-hub:1.0.0"
],
"env": {
"MCP_SKILLS_DIR": "your-value",
"MCP_SKILLS_HOT_RELOAD": "your-value",
"MCP_SKILLS_LOG_LEVEL": "your-value"
}
}
}
}MCP_SKILLS_DIR envMCP_SKILLS_HOT_RELOAD envMCP_SKILLS_LOG_LEVEL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月12日
注册名称已通过 GitHub 账户 srprasanna 验证,该账户拥有此仓库
超过一年没有代码更新,或仓库已归档
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 2 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于13个月前,最新版本(1.0.0)于13个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:World Monitor, Claude Flow, Windmill
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
A production-ready Model Context Protocol (MCP) server that dynamically loads and exposes skills from a mounted volume with hot-reloading support.
📦 Available on [MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.srprasanna%2Fmcp-skill-hub/versions) - Install with one command!
CRITICAL REQUIREMENT: Each skill MUST be in its own dedicated folder within the skills directory. The server will ONLY recognize skills that follow this structure.
your-skills-directory/
├── skill-one/ │ └── SKILL.md ← Required ├── skill-two/ │ ├── SKILL.md ← Required │ └── examples/ ← Optional │ └── example.py └── skill-three/ ├── SKILL.md ├── examples/ │ └── demo.py └── templates/ └── template.txt
your-skills-directory/
├── SKILL.md ❌ Not in a folder - WILL BE SKIPPED ├── random-file.txt ❌ Not a skill folder ├── .hidden-folder/ ❌ Hidden folder - WILL BE SKIPPED │ └── SKILL.md └── pycache/ ❌ System folder - WILL BE SKIPPED └── SKILL.md
Valid folder names:
my-skill-nameexcel_advancedskill-name-v2Invalid (will be skipped):
.___pycache__, node_modules, .git, etc.mkdir -p ~/claude-skills/my-first-skill
cat > ~/claude-skills/my-first-skill/SKILL.md << 'EOF'
name: "my-first-skill" description: "My first Claude skill"
This is my first skill for Claude!
Simply describe what your skill does here. EOF
docker run -i --rm \
-v ~/claude-skills:/skills:ro \ mcp-skill-hub
git clone https://github.com/srprasanna/mcp-skill-hub.git
cd mcp-skill-hub poetry install
mkdir -p ~/claude-skills/my-first-skill
export MCP_SKILLS_DIR=~/claude-skills
poetry run mcp-skills
# Clone the repository
git clone https://github.com/srprasanna/mcp-skill-hub.git cd mcp-skill-hub
poetry install
poetry run mcp-skills --help
# Build the image
docker build -t mcp-skill-hub .
docker-compose build
# Set the skills directory
export MCP_SKILLS_DIR=/path/to/your/skills
poetry run mcp-skills
docker run -i --rm \
-v /path/to/your/skills:/skills:ro \ -e MCP_SKILLS_LOG_LEVEL=INFO \ mcp-skill-hub
# Edit docker-compose.yml to set your skills directory path
docker-compose up mcp-skills
Add to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": { "skills": { "command": "docker", "args": [ "run", "-i", "--rm", "-v", "${HOME}/claude-skills:/skills:ro", "mcp-skill-hub" ] } } }
Or using Poetry:
{
"mcpServers": { "skills": { "command": "poetry", "args": ["run", "mcp-skills"], "cwd": "/path/to/mcp-skill-hub", "env": { "MCP_SKILLS_DIR": "/path/to/your/skills" } } } }
Important: Make sure your ${HOME}/claude-skills directory contains skill folders, not loose SKILL.md files!
Configuration is done via environment variables with the prefix MCP_SKILLS_:
| Variable | Default | Description |
|---|---|---|
MCP_SKILLS_DIR | /skills | Root directory containing skill folders |
MCP_SKILLS_HOT_RELOAD | true | Enable automatic reloading |
MCP_SKILLS_DEBOUNCE_DELAY | 0.5 | Delay (seconds) before reload |
MCP_SKILLS_LOG_LEVEL | INFO | Log level (DEBUG, INFO, WARNING, ERROR) |
MCP_SKILLS_SCAN_DEPTH | 1 | Scan depth (always 1) |
MCP_SKILLS_DIR=/path/to/skills
MCP_SKILLS_HOT_RELOAD=true MCP_SKILLS_DEBOUNCE_DELAY=0.5 MCP_SKILLS_LOG_LEVEL=INFO
Skills are defined in SKILL.md files with YAML frontmatter:
---
name: "my-skill" description: "Brief description"
Your skill content here in Markdown.
---
name: "excel-advanced" description: "Advanced Excel automation techniques"
version: "1.2.0" author: "Your Name" created: "2025-01-15" updated: "2025-10-23"
dependencies: python: ["openpyxl>=3.0.0", "pandas>=2.0.0"] system: ["libreoffice"]
category: "office-automation" tags: ["excel", "spreadsheet", "automation"] complexity: "intermediate" # beginner|intermediate|advanced
when_to_use:
related_skills: ["csv-processing", "data-analysis"]
has_examples: true example_files: ["examples/report_generator.py", "templates/report_template.xlsx"]
This skill covers advanced Excel automation techniques...
See examples/report_generator.py for a working example.
Required:
name: Unique identifier (kebab-case recommended)description: Brief descriptionOptional:
version: Semantic versionauthor: Creator namecreated, updated: ISO dates (YYYY-MM-DD)dependencies: Python packages or system toolscategory: Main category for groupingtags: Array of tags for searchcomplexity: beginner, intermediate, or advancedwhen_to_use: Array of usage scenariosrelated_skills: Names of related skillshas_examples: Boolean flagexample_files: Paths to example files (relative to skill folder)The server exposes these MCP resources:
Four tools are available for interacting with skills:
search_skillsSearch for skills by query, category, tag, or complexity.
{
"query": "excel", "category": "office-automation", "tag": "automation", "complexity": "intermediate" }
reload_skillsManually trigger a reload of all skills from the directory.
{}
get_skill_infoGet metadata for a specific skill without loading full content.
{
"name": "excel-advanced" }
list_skill_foldersList all valid skill folders found in the skills directory.
{}
# Clone repository
git clone https://github.com/srprasanna/mcp-skill-hub.git cd mcp-skill-hub
poetry install
poetry shell
# Run all tests
poetry run pytest
poetry run pytest --cov=mcp_skills --cov-report=html
poetry run pytest tests/test_scanner.py
poetry run pytest -v
# Format code
poetry run black .
poetry run ruff check .
poetry run mypy src
poetry run black . && poetry run ruff check . && poetry run mypy src
git checkout -b feature/my-feature
poetry run pytest
poetry run mypy src
poetry run black .
poetry run ruff check .
git commit -m "Add feature: description"
git push origin feature/my-feature
mcp-skill-hub/
├── src/mcp_skills/ # Source code │ ├── models/ # Data models │ ├── parsers/ # Skill parsers │ ├── storage/ # Repository pattern │ ├── scanner.py # Directory scanning │ ├── watcher.py # Hot-reload watcher │ ├── server.py # MCP server │ ├── config.py # Configuration │ └── main.py # CLI entry point ├── tests/ # Test suite ├── examples/ # Example skills ├── docs/ # Documentation └── pyproject.toml # Poetry configuration
Problem: No skills are loaded when the server starts.
Solution:
/skills/my-skill/SKILL.md ✓
/skills/SKILL.md ✗
2. Verify folder names don't start with `.` or `_`
Problem: Changes to SKILL.md files aren't detected.
Solution:
MCP_SKILLS_HOT_RELOAD=trueSKILL.mdProblem: SKILL.md files fail to parse.
Solution: