What does this MCP server do?
It retrieves the latest Keycloak documentation and formats it for consumption by large language models (LLMs).
@chenhunghan
基本情報
MCP sever for fetching latest Keyclaok documentation in LLM friendly 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": {
"keycloak-documentation": {
"command": "keycloak-doc-mcp",
"args": [],
"env": {}
}
}
}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。
An MCP server that fetches the latest Keycloak documentation in an LLM-friendly format, making it accessible to AI assistants and development tools.
Install globally via npm (npm install -g keycloak-doc-mcp) and configure the MCP client (e.g., in an MCP settings JSON file) to use the keycloak-doc-mcp command.
It retrieves the latest Keycloak documentation and formats it for consumption by large language models (LLMs).
Run `npm install -g keycloak-doc-mcp` in your terminal.
Add an entry under `mcpServers` in your MCP settings JSON, using the command `keycloak-doc-mcp` with an empty args array.
No additional runtime dependencies beyond Node.js and npm are mentioned in the README.
The README does not specify the source; it simply states it fetches “latest Keycloak documentation.”

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
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

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
Memlord is a remote MCP server available at https://app.memlord.com.
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.
コメント