OSSInsight MCP Server
@damonxue
OSSInsight MCP Server について
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.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-ossinsight": {
"command": "docker",
"args": [
"build",
"-t",
"mcp/ossinsight",
"-f",
"Dockerfile",
"."
]
}
}
}ツール
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
概要
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)
FAQ from OSSInsight MCP Server
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.
What are the rate limits?
The public API enforces a limit of 600 requests per hour per IP address.
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.
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.
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.
「その他」の他のコンテンツ
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
MCP Registry
modelcontextprotocolA community driven registry service for Model Context Protocol (MCP) servers.
Inbox Zero AI MCP
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
Mcp
browsermcpBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Awesome Mlops
visengerA curated list of references for MLOps
コメント