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- 2026년 2월 3일 14:34
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tools-only/X-Skills --skill integrate-mcp명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Index of Build Systems Skills
Coordination patterns for distributed dataflow systems including barriers, epochs, and distributed snapshots
Windowing, sessionization, time-series aggregation, and late data handling for streaming systems
SOC 직업 분류 기준
SKILL.md 표시 중
| name | integrate-mcp |
| description | Integrate existing MCP servers from Smithery.ai or GitHub repositories |
Help users discover and integrate pre-built MCP servers from the ecosystem, primarily from Smithery.ai marketplace.
/integrate-mcp/getting-started tourSay:
**Want to connect more tools to Dex?**
There's a marketplace of 100+ pre-built MCP servers at:
**[Smithery.ai](https://smithery.ai/servers)**
These are production-ready integrations for:
• **Dev tools:** GitHub, GitLab, Linear, Jira
• **Productivity:** Notion, Airtable, Google Sheets
• **Communication:** Slack, Discord, Email
• **Databases:** Postgres, MySQL, SQLite
• **Monitoring:** Sentry, Datadog
• **And many more...**
**How this works:**
1. Browse Smithery.ai for MCPs that match your tools
2. Copy the full URL of any MCP you want
3. Paste it here - I'll:
- Fetch the code/documentation
- Explain what it does
- Help you configure it
- Integrate into Dex
- Update documentation
**Or** if you can't find what you need, run `/create-mcp` to build custom.
Ready to explore? [Browse Smithery.ai](https://smithery.ai/servers)
Detect URL type:
https://github.com/user/repohttps://npmjs.com/package/namehttps://smithery.ai/server/nameFetch based on type:
if "github.com" in url:
# Fetch README.md from repo
readme_url = f"{url}/blob/main/README.md"
content = web_fetch(readme_url)
elif "smithery.ai" in url:
# Fetch from Smithery page
content = web_fetch(url)
elif "npmjs.com" in url:
# Fetch package info
content = web_fetch(url)
else:
# Try direct fetch
content = web_fetch(url)
Analyze the fetched content for:
Say:
**Got it!** This is the **[Server Name]** MCP.
**What it does:**
• [Capability 1] - [Description]
• [Capability 2] - [Description]
• [Capability 3] - [Description]
**What you'll need to set up:**
• [ENV_VAR_1]: [Explanation of what this is]
• [ENV_VAR_2]: [Explanation]
**Installation method:** [npm/pip/docker/manual]
**Authentication:** [API key / OAuth / Local / None]
Ready to integrate this?
"This is an npm package. Here's how to install:
1. Navigate to your Dex directory
2. Install the package:
npm install -g [package-name]
3. I'll add it to your `.mcp.json` config
Want me to proceed?"
Then add to .mcp.json:
{
"[server-name]": {
"command": "npx",
"args": ["-y", "[package-name]"],
"env": {
"VAR1": "value1"
}
}
}
"This is a Python MCP. Here's how to install:
1. Install via pip:
pip install [package-name]
2. I'll add it to your `.mcp.json` config
Want me to proceed?"
"This is from a GitHub repo. Here's the setup:
1. Clone the repository:
git clone [repo-url] ~/dex-mcps/[server-name]
2. Install dependencies (if any)
3. I'll add it to your `.mcp.json` config
Want me to proceed?"
For each required env var:
"This MCP needs the following environment variables:
**[ENV_VAR_1]:** [Description]
Where to get it: [Instructions]
**[ENV_VAR_2]:** [Description]
Where to get it: [Instructions]
You can either:
1. Set them now (I'll add to `.env` file)
2. Set them manually later in your shell config
What's your [ENV_VAR_1]?"
Collect values and add to .env file:
# [Server Name] MCP Configuration
ENVVAR_1=value1
ENV_VAR_2=value2
Add to System/.mcp.json:
{
"[server-name]": {
"command": "[command]",
"args": ["[args]"],
"env": {
"ENV_VAR_1": "${ENV_VAR_1}",
"VAULT_PATH": "{{VAULT_PATH}}"
}
}
}
Try calling a basic tool from the MCP:
"Testing connection..."
[Call a simple tool from the MCP, like list_resources or get_status]
[If success:]
"✅ Connection works! The [Server Name] MCP is live.
Test it: '[Example natural language query]'
See? Real data from [Tool]."
[If failure:]
"⚠️ Connection failed. Common issues:
• Environment variables not set correctly
• Authentication hasn't been completed
• MCP server not installed properly
Want help debugging this?"
Add to CLAUDE.md:
### [Server Name] Integration
**MCP Server:** [server-name]
**Purpose:** [what it does]
**Available via this MCP:**
- [Capability 1]
- [Capability 2]
**Configuration:**
- `ENV_VAR_1`: [description]
**Usage:**
- "[Natural language example 1]"
- "[Natural language example 2]"
Add to System/usage_log.md if not present:
- [ ] Connected [Tool] via MCP
After first integration completes:
"Want to add another tool?
You can:
1. Browse more on Smithery.ai and paste another URL
2. Run `/create-mcp` to build something custom
3. Stop here and explore what you have
What sounds good?"
If connection fails, provide specific debugging steps:
For authentication issues:
"Authentication failed. Let's debug:
1. Check your API key is correct
2. Verify it has the right permissions
3. Try testing it directly:
curl -H "Authorization: Bearer YOUR_KEY" [api-endpoint]
Want to try a different key?"
For installation issues:
"Installation failed. Common fixes:
1. Check Node/Python version:
node --version # Should be 18+ python --version # Should be 3.8+
2. Try installing globally:
npm install -g [package]
pip install --user [package]
3. Check for conflicts:
npm list -g | grep [package]
Want to try these steps?"
If user can't find what they need:
"Didn't find [Tool] on Smithery?
No worries - we can build it custom with `/create-mcp`.
That wizard will:
1. Help you find the tool's API docs
2. Design the integration together
3. Generate working MCP code
4. Get it integrated
Takes about 5-10 minutes depending on the API complexity.
Want to build [Tool] integration from scratch?"
Then hand off to /create-mcp skill.
After integration:
The experience feels like: