What are the system requirements?
Node.js >= 16.0.0 and TypeScript 4.9.5 are required.
@askme765cs
基本情報
概要はまだありません
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": {
"open-docs-mcp": {
"command": "npx",
"args": [
"-y",
"open-docs-mcp",
"--docsDir",
"/path/to/docs"
]
}
}
}Enable crawling for a specific doc
Disable crawling for a specific doc
Start crawling enabled docs
Build search index for docs
Search documentation
Build search index for docs
List all enabled docs with their cache status
List all available docs including disabled ones
Open Docs Mcp is an open-source MCP server that provides document management functionality. It crawls and indexes documentation from various sources, supports multiple document formats, and offers full-text search capabilities. It is designed for developers and AI assistants that need to retrieve documentation context via the MCP protocol, replicating Cursor’s @Docs functionality.
Run npx -y open-docs-mcp --docsDir ./docs to start the server. For Claude Desktop, add the server configuration to claude_desktop_config.json with the required --docsDir argument pointing to your documentation directory. Development commands include npm run watch for auto-rebuild and npm run inspector for debugging with MCP Inspector.
enable_doc toolcrawl_docs toollist_enabled_docsNode.js >= 16.0.0 and TypeScript 4.9.5 are required.
Add the server configuration to `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS or `%APPDATA%/Claude/claude_desktop_config.json` on Windows, specifying `command`, `args` (including `--docsDir`), and optionally `disabled` and `alwaysAllow`.
The server provides seven tools: `enable_doc`, `disable_doc`, `crawl_docs`, `build_index`, `search_docs`, `list_enabled_docs`, and `list_all_docs`.
Use the `enable_doc` tool to start crawling a specific documentation source.
Data is stored in the directory specified by the `--docsDir` argument when starting the server.
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Model Context Protocol Servers

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab

One permissioned folder your team and your AI agents both log into.

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.
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