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OpenLore MCP Server已验证已精选

@aakarim

基本信息

关于 OpenLore MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "openlore": {
      "command": "openlore",
      "args": [
        "./docs"
      ]
    }
  }
}

OpenLore MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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