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MCP Server Dataset Builder

@wanghaisheng

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

wanghaisheng

关于 MCP Server Dataset Builder

暂无概览

MCP Server Dataset Builder 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-dataset": {
      "command": "python",
      "args": [
        "extract_mcp_servers.py"
      ]
    }
  }
}

MCP Server Dataset Builder 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server Dataset Builder?

MCP Server Dataset Builder is a tool that automatically collects, categorizes, and updates information about MCP (Model Context Protocol) servers from multiple sources. It merges data from the curated awesome‑mcp‑servers repository and GitHub search, then outputs a daily CSV file. It is designed for developers and researchers who need an up‑to‑date, structured catalog of MCP servers.

How to use MCP Server Dataset Builder?

The dataset is automatically updated daily via a GitHub Actions workflow; no manual steps are required. To run locally, install the dependencies (pip install -r requirements.txt) then execute python extract_mcp_servers.py or python daily.py. A manual workflow run can be triggered from the Actions tab, with optional customization of search keywords, minimum stars, and minimum forks.

Key features of MCP Server Dataset Builder

  • Combines data from curated lists and GitHub search
  • Automatically assigns categories based on repository content
  • Detects programming languages and frameworks used
  • Adds emoji indicators for quick visual identification
  • Updates daily to keep the dataset current
  • Preserves historical data while adding new entries

Use cases of MCP Server Dataset Builder

  • Building and maintaining a comprehensive registry of MCP servers
  • Discovering new MCP repositories through automated GitHub search
  • Analyzing the MCP ecosystem by category, tech stack, or popularity
  • Keeping a personal or team dataset synchronized with the latest servers
  • Integrating MCP server metadata into dashboards or monitoring tools

常见问题

1

What data sources does MCP Server Dataset Builder use?

It extracts data from the awesome‑mcp‑servers GitHub repository and performs its own GitHub search using MCP‑related keywords. Both sources are merged and deduplicated.

2

How often is the dataset updated?

The dataset is automatically updated daily via a GitHub Actions workflow. No manual intervention is required, but you can trigger a manual run at any time.

3

Can I customize the search criteria?

Yes. When running the workflow manually, you can set keywords, minimum stars, and minimum forks. Locally, these are controlled via environment variables (KEYWORDS_ENV, MIN_STARS, MIN_FORKS).

4

What fields are included in the CSV output?

The CSV contains: name, description, html_url, stars, forks, keywords, category, techstack, and emojis. These fields provide a structured overview of each repository.

5

Does the tool require a GitHub API token?

Yes, for the GitHub search to work, a GITHUB_TOKEN environment variable must be set. The token is used for authentication when querying the GitHub API.

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