安装必要的依赖
@Go-To-Sea
About 安装必要的依赖
A MCP Server used to collect MCP Servers over the internet.
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
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Overview
What is 安装必要的依赖?
安装必要的依赖 is a Python-based data crawling tool for the Model Context Protocol (MCP) ecosystem. It scrapes metadata about MCP servers and clients and imports the results directly into a Supabase database, with optional SQL export.
How to use 安装必要的依赖?
First install the required dependency with pip install supabase. Then run the crawl script located at src/mcp_crawler/crawl_mcp_data.py with the desired flags: use --server-only for server data, --client-only for client data, --export-sql <filename> to also produce a SQL file, and --no-import to skip database insertion.
Key features of 安装必要的依赖
- Crawls MCP server and client data into a Supabase database.
- Supports crawling only servers or only clients.
- Optionally exports crawled data as a SQL file.
- Can generate SQL file without importing into the database.
Use cases of 安装必要的依赖
- Populate a Supabase database with the latest MCP server listings.
- Export an offline SQL snapshot of MCP client configurations.
- Quickly differentiate between server-only and client-only data pulls.
- Automate MCP metadata updates as part of a larger data pipeline.
FAQ from 安装必要的依赖
What dependencies are required to run 安装必要的依赖?
The only explicitly required dependency is the supabase Python package, installed via pip install supabase.
How do I crawl only MCP server data?
Use the --server-only flag: python crawl_mcp_data.py --server-only.
How do I generate a SQL file without importing into the database?
Combine the --no-import and --export-sql <filename> flags: python crawl_mcp_data.py --no-import --export-sql mcp_data.sql.
Can I export both a SQL file and import to the database at the same time?
Yes, by default importing is enabled. Adding --export-sql <filename> will both import and export: python crawl_mcp_data.py --export-sql mcp_data.sql.
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