What Java version is required?
Java 17 or higher is required.
@brianxiadong
基本情報
A Spring AI MCP-based service for retrieving ONES Wiki content and converting it to AI-friendly text format.
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": {
"ones-wiki": {
"command": "java",
"args": [
"-jar",
"--ones.host=your-ones-host.com",
"--ones.email=your-email@example.com",
"--ones.password=your-password",
"target/ones-wiki-mcp-server-0.0.1-SNAPSHOT.jar"
],
"env": {
"JAVA_OPTS": "-Xmx512m"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Spring AI MCP-based service that retrieves ONES Wiki content and converts it to AI-friendly text format. It integrates with the ONES platform and is intended for developers or users who need to extract wiki pages for consumption by large language models or other text-processing tools.
Build the project with Maven (mvn clean package), then configure authentication via application.properties, command-line arguments, or environment variables (ones.host, ones.email, ones.password). Add the server to your MCP client (e.g., Claude Desktop) using the packaged JAR and credentials. Provide a full Wiki page URL to retrieve the page’s content in Markdown.
Java 17 or higher is required.
You can provide host, email, and password via `application.properties`, command-line arguments (e.g., `--ones.host=...`), or environment variables (`ONES_HOST`, `ONES_EMAIL`, `ONES_PASSWORD`).
The server converts Wiki HTML to structured Markdown, preserving headings (H1-H6), paragraphs, ordered/unordered lists, tables, image descriptions, and links. Strikethrough content is automatically filtered.
Yes, HTTPS connections are supported.
Yes, you can add new tool methods to the `OnesWikiService` class, for example to search wiki pages or batch process multiple pages.
Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.
Groundwork: company memory for your AI tools. Docs public. Source closed. Public proof needs no account.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age
コメント