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`.
@Go-To-Sea
Basic information
A MCP Server used to collect MCP Servers over the internet.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
The only explicitly required dependency is the `supabase` Python package, installed via `pip install supabase`.
Use the `--server-only` flag: `python crawl_mcp_data.py --server-only`.
Combine the `--no-import` and `--export-sql <filename>` flags: `python crawl_mcp_data.py --no-import --export-sql mcp_data.sql`.
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`.
Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

Nebelus is an enterprise agentic-AI platform for regulated industries. This MCP server exposes the Nebelus Construction API: ~48 tools that give an MCP client full agent build parity — create/update/probe agents, edit ag

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci
OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.

Read and edit DB Planner database schemas (DBML/SQL), Mermaid diagrams and board layouts from any MCP client. 38 tools, OAuth sign-in, read and write as separate scopes enforced server-side.
Comments