blacklotusdev8-test_m
Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference鈥�
可用工具 （5 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数：query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数：urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数：url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数：url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数：input
服务介绍
test
An MCP server built with Smithery.
# Prerequisites
- Smithery API key: Get yours at smithery.ai/account/api-keys
# Getting Started
-
Run the server:
uv run dev -
Test interactively:
uv run playground
Try saying "Say hello to John" to test the example tool.
# Run with Docker
Build the image (from the project root):
docker build -t hello-server .
Run the container:
docker run - -rm -p 8081:8081 - -shm-size=1g hello-server
Notes:
- The server listens on
0.0.0.0:8081and serves the MCP endpoint at/mcp. - -shm-size=1gimproves browser stability for Playwright/Firefox-based scraping.
You can now connect an MCP client to:
http://localhost:8081/mcp
# Development
Your server code is in src/hello_server/server.py. Add or update your server capabilities there.
# Deploy
Ready to deploy? Push your code to GitHub and deploy to Smithery:
-
Create a new repository at github.com/new
-
Initialize git and push to GitHub:
git add . git commit -m "Hello world 👋" git remote add origin https://github.com/YOUR_USERNAME/YOUR_REPO.git git push -u origin main -
Deploy your server to Smithery at smithery.ai/new
