
OpenLore MCP Server認証済み注目
@aakarim
基本情報
OpenLore MCP Server について
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


OpenLore MCP Server の設定
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": {
"openlore": {
"command": "openlore",
"args": [
"./docs"
]
}
}
}OpenLore MCP Server のツール
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。
概要
What is OpenLore?
Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, pipes, and shell loops against a virtual filesystem backed by your documentation. No ingestion pipeline, no vector DB. Point it at a directory and it serves the existing hierarchy directly.
How it works
Agent ──SSH or MCP──▶ OpenLore ──▶ docs, knowledge, and artifacts
By default it starts SSH on localhost:2222, a web view on http://localhost:8080, and MCP over HTTP on http://localhost:8080/mcp.
Key features
- Agent-native retrieval — agents use the shell tools they already know instead of learning a bespoke API
- One knowledge surface, multiple transports — SSH, SFTP/SSHFS, MCP, and a human-friendly web view
- Identity-scoped views — each agent sees only the docsets it needs, with role-based access
- Governed writing — writes are atomic, conflict-aware, and can require human approval
- Safe by construction — the shell is an in-memory Go interpreter, not a real OS shell. No escape, no arbitrary execution
- Portable knowledge bundles — embed docs into a self-contained binary or package as a desktop MCP extension
Use cases
- Internal API docs, runbooks, and architecture notes for coding agents
- Shared live memory for teams of agents across sessions
- Agent Skills publishing into governed, discoverable collections
- Remote review of agent-generated reports and artifacts through SSH or browser
Quick start
go install github.com/aakarim/go-openlore/cmd/openlore@latest
openlore ./docs
ssh -p 2222 localhost
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