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OSSInsight MCP Server

@damonxue

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

damonxue

关于 OSSInsight MCP Server

An MCP server based on OSSInsight.io, providing data analysis for GitHub individuals and repositories, as well as in-depth insights into the open source ecosystem.

#mcp#ossinsight#mcp-server

OSSInsight MCP Server 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-ossinsight": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp/ossinsight",
        "-f",
        "Dockerfile",
        "."
      ]
    }
  }
}

OSSInsight MCP Server 工具

10

`owner_repo` (string): Repository name in the format 'owner/repo'

Repository analysis data from both API and web page, with a link to the OSSInsight page

`username` (string): GitHub username

Developer data from both API and web page, with a link to the OSSInsight page

`collection_id` (string): Collection ID, e.g., 'open-source-database'

Collection data and a link to the collection page on OSSInsight

`page` (optional number): Page number, starting from 1

List of collections and a link to browse collections on OSSInsight

`query` (string): Natural language query, e.g., 'Which repositories gained the most stars in 2023?'

A direct link to OSSInsight's chat interface with the query prefilled

概览

What is OSSInsight MCP Server?

OSSInsight MCP Server is an MCP server built on OSSInsight.io that provides data analysis for GitHub individuals, organizations, and repositories, along with deep insights into the open source ecosystem.

How to use OSSInsight MCP Server?

Configure the server via Docker (mcp/ossinsight) or npx (@modelcontextprotocol/server-ossinsight) in your MCP client. Then invoke built‑in tools such as get_repo_analysis, get_developer_analysis, list_collections, get_collection, and natural_language_query to retrieve GitHub data.

Key features of OSSInsight MCP Server

  • Repository analysis with star trends and contributor activity
  • Developer analysis: contribution patterns and influence
  • Organization analysis: members, repos, and overall activity
  • Project comparison: side‑by‑side metrics for two repositories
  • Curated project collections (e.g., open‑source databases, AI tools)
  • Natural language queries to ask about GitHub data

Use cases of OSSInsight MCP Server

  • Analyze star growth and commit activity of any public repository
  • Compare two popular projects (e.g., React vs. Vue) on key metrics
  • Explore a developer’s contribution history and impact across repos
  • Browse curated collections to discover noteworthy open‑source projects
  • Ask natural language questions about GitHub trends (e.g., top starred repos in 2023)

常见问题

1

How does OSSInsight MCP Server retrieve data?

It uses a dual approach: the OSSInsight public API (v1) for direct calls, with a fallback to web page scraping when the API is limited or unavailable.

2

What are the rate limits?

The public API enforces a limit of 600 requests per hour per IP address.

3

How can I install OSSInsight MCP Server?

You can run it either via Docker (`docker run --rm -i mcp/ossinsight`) or via npx (`npx -y @modelcontextprotocol/server-ossinsight`), both configured in the `mcpServers` section of your client’s config.

4

What data can I analyze with OSSInsight MCP Server?

You can analyze GitHub repositories (star trends, contributors, commits), developers (activity, influence), organizations (members, repos), and explore curated project collections. Natural language queries provide additional ad‑hoc insights.

5

Does OSSInsight MCP Server require an API key?

The README does not mention any authentication or API key. The server relies solely on the public OSSInsight API and web scraping, both of which are publicly accessible.

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