原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Runeward

作者:Runewardd版本 0.1.4i★ –i在你的电脑上运行
注册名称io.github.Runewardd/runeward

安装

概览

作者提供的说明(英文原文)

Governed execution cells for AI agents: Docker/K8s sandboxes with policy, audit, and approvals.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: RUNEWARD_CONFIG_DIR, RUNEWARD_STATE_DIR

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "runeward": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "RUNEWARD_CONFIG_DIR",
        "-e",
        "RUNEWARD_STATE_DIR",
        "ghcr.io/runewardd/runeward:v0.1.4"
      ],
      "env": {
        "RUNEWARD_CONFIG_DIR": "your-value",
        "RUNEWARD_STATE_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add runeward --env RUNEWARD_CONFIG_DIR=your-value --env RUNEWARD_STATE_DIR=your-value -- docker run -i --rm -e RUNEWARD_CONFIG_DIR -e RUNEWARD_STATE_DIR ghcr.io/runewardd/runeward:v0.1.4

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "runeward": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "RUNEWARD_CONFIG_DIR",
        "-e",
        "RUNEWARD_STATE_DIR",
        "ghcr.io/runewardd/runeward:v0.1.4"
      ],
      "env": {
        "RUNEWARD_CONFIG_DIR": "your-value",
        "RUNEWARD_STATE_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "runeward": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "RUNEWARD_CONFIG_DIR",
        "-e",
        "RUNEWARD_STATE_DIR",
        "ghcr.io/runewardd/runeward:v0.1.4"
      ],
      "env": {
        "RUNEWARD_CONFIG_DIR": "your-value",
        "RUNEWARD_STATE_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • RUNEWARD_CONFIG_DIR env
    Directory to resolve profile TOML files from (optional; defaults to the standard search path).
  • RUNEWARD_STATE_DIR env
    Directory where the tamper-evident audit ledger is written (optional).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Runewardd 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1394 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1394 个服务器的 31% 更新
  • 基础检查结果等于或优于此分类中其他 1394 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Runeward 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.4)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Rune Box: an environment where your agent can roam freely but with receipts.

The open-source governance harness for AI agents, by Runeward.

Put enforceable policy, human approvals, isolated execution, budgets, and signed evidence around any AI agent. Rune Box works with an existing agent or multi-agent framework rather than requiring a new model or orchestration stack.

Prove it in one command

Prerequisites: a running Docker, OrbStack, or Podman engine and the runeward binary.

runeward quickstart

The command creates .runeward/quickstart.toml, checks the policy, runtime, image, and state path, runs an allowed command, proves a destructive command is denied before execution, and verifies the signed audit trail. It never overwrites an existing policy unless --force is passed.

doctor and dashboard readiness also resolve required secret sources. A Charter that references an unset env:// value is not presented as launch-ready.

runeward doctor quickstart                     # explain setup problems safely

runeward --config-dir .runeward serve # dashboard + governed REST API runeward evidence export quickstart -o run.json runeward evidence verify run.json # independent policy/audit verification

What Rune Box adds

ConcernContainer aloneRune Box
Tool callsExecutes what the process requestsChecks every shell, code, file, network, and browser action first
Risky actionsApplication-specificallow, deny, or require-approval with an attributed decision
NetworkUsually open unless separately configuredDeny-by-default hostname policy; strict L3 enforcement on Kubernetes
LimitsCPU/memoryWall-clock, exec, egress, token, cost, and retry-loop budgets
AuditRuntime logsAppend-only, hash-chained, Ed25519-signed events
HandoffAd-hoc logs and foldersWorkspace tar, recovery snapshots, and portable signed evidence JSON
Agent identityOne opaque processTenant, actor, parent run, provider, model, and durable run lineage
InterfacesRuntime-specificCLI, REST, MCP, web dashboard, Kubernetes CRDs, and local SDK adapters

Every governed action follows one path:

agent request → policy → human approval when required → limits → sandbox → signed audit event

Naming

Documentation and UI use familiar terms first. Existing API paths and file fields retain the original themed names for compatibility.

Plain-language termRune Box nameExisting surface
SandboxCitadel/v1/citadels, Kubernetes Citadel
Policy file/profileCharter/v1/charters, *.toml profile
ApprovalsConclave/v1/conclave
Signed audit trailChronicle/v1/chronicle, [chronicle]
Network controlsPerimeter/perimeter, [network]
Budgets and limitsRationing[rationing]
Agent group/fleetCohort/v1/cohorts, [cohort]
Signed policy bundleArchiveruneward archive, [policy_bundle]

See the full naming and writing convention.

Install

Choose the package that matches how you use Rune Box:

Install withWhat it installsCommand
HomebrewRune Box CLI for macOS or Linuxbrew install Runeeward/tap/runebox
PyPIPython client and agent-framework adapterspython -m pip install runeward
npmTypeScript client and agent-framework toolsnpm install @runeward/sdk

For normal local use, install the CLI with Homebrew. For an agent integration, install the SDK for its language as well. The pip and npm packages connect to a running Rune Box API; they do not replace the CLI/runtime.

Homebrew — CLI

Local sandboxes require a running Docker, OrbStack, or Podman engine.

brew install Runeeward/tap/runebox

runeward version runeward quickstart

pip — Python SDK

Requires Python 3.9 or newer. The base client has no third-party runtime dependencies.

python -m pip install runeward

python -c "import runeward; print(runeward.version)"

npm — TypeScript SDK

Requires Node.js 18 or newer.

npm install @runeward/sdk

npm ls @runeward/sdk

See Adapters for LangChain, CrewAI, LlamaIndex, OpenAI Agents, Strands, Vercel AI SDK, and LangChain.js installation options.

Other CLI installation options

The signed macOS/Linux installer requires cosign so it can fail closed while verifying the checksum manifest. Windows binaries are available from Releases.

curl -fsSL https://raw.githubusercontent.com/Runeeward/RuneBox/main/install.sh | sh

To build the current main branch, use Rust 1.95 or newer (the workspace MSRV):

git clone https://github.com/Runeeward/RuneBox

cd RuneBox cargo build --release --locked -p runeward-cli --bin runeward ./target/release/runeward version

cargo install --locked --path crates/runeward-cli installs it into ~/.cargo/bin instead.

Use it with an agent

Expose governed tools to an MCP-capable IDE or agent:

{

"mcpServers": { "runeward": { "command": "runeward", "args": ["mcp", "--config-dir", ".runeward"] } } }

Or place an agent CLI inside a sandbox and run one or many governed workers:

runeward cohort --agent claude --model sonnet build "Build a tested API"

Adapters are included for LangChain, CrewAI, LlamaIndex, OpenAI Agents, Strands, Vercel AI SDK, and LangChain.js. See Adapters and agent groups.

The dashboard also has a read-only Live chat TTY for each Citadel. Agent harnesses publish user, assistant, tool, and system turns with runeward_publish_conversation (or the REST, Python, and TypeScript equivalents), and authorized teammates can follow the redacted conversation without terminal input access. Rune Box cannot infer private UI chat text that the agent client does not publish; wire the publish call into the harness turn callback. The publisher must connect to the same runeward serve control plane as the dashboard (through /mcp, REST, or an SDK).

Harness agents and subagents

Rune Box is the enforcement boundary around an agent, not the component that decides how the agent reasons. Route the tool calls of a parent agent and each delegated subagent through Rune Box to give them explicit policy, approval, isolation, budget, and evidence boundaries.

Existing concepts keep their meaning: a Cohort is a group of peer workers sharing a task board; it is not being renamed to “subagents.” The orchestrator still decides when to delegate, while Rune Box records the parent/run/provider lineage and prevents a child Citadel from widening its parent's tenant or Charter. Every participating agent can receive its own Citadel and Chronicle. See Agent harnessing.

Policy workflow

Policies support built-in glob rules, CEL, OPA/Rego, and signed OCI bundles. Test them in CI, start from a reviewed scaffold, or derive exact proposals from verified production evidence:

runeward policy scaffold package-approval

runeward policy test quickstart --case 'tool=shell,action=rm -rf /,expect=deny' runeward policy learn run.json > proposed-policy.toml

policy learn never edits a policy automatically. It verifies the evidence first, skips redacted actions, produces exact matches, and requires a human to review and broaden them.

Security posture

  • The server binds to loopback by default and requires authentication before a non-loopback bind.
  • Non-loopback HTTP also requires TLS unless --allow-insecure-http explicitly acknowledges that a trusted reverse proxy terminates TLS.
  • Multi-principal RBAC scopes sandboxes, agent groups, recovery snapshots, and dashboard views to their tenant while attributing every operation to its actor. Static tokens and OIDC JWTs use the same authorization model, and embedded HTTP MCP shares the REST ownership checks.
  • Browser automation is experimental and disabled by default. Enable it only in a trusted deployment with RUNEWARD_ENABLE_EXPERIMENTAL_BROWSER=1 after reviewing the security model. Browser-capable Charters declare capabilities = ["browser"]; the dashboard then exposes governed rendered-text and screenshot actions and their policy/egress results.
  • An optional browser IDE (code-server inside the environment + ticketed reverse proxy) is similarly experimental: RUNEWARD_ENABLE_EXPERIMENTAL_IDE=1, Charter [ide], Dockerfile.ide targets ide / ide-agents, examples ide-demo / ide-claude / ide-codex / ide-cursor. Limits: not per-keystroke policy; no Cursor/Claude Desktop/Codex GUIs inside the environment; no first-class GitHub Copilot on code-server. See Browser IDE and the security model.
  • Per-action policy applies to tool calls routed through the control plane (REST, MCP, dashboard file/shell/code actions, and SDKs). An interactive terminal or a process already running inside a sandbox is a direct sandbox session: it receives isolation/network/resource controls and terminal recording, but its individual commands are not intercepted for approval. Use governed tool calls when command-level policy and signed verdicts are required.
  • Report vulnerabilities privately using SECURITY.md. Rune Box remains pre-1.0; residual limitations are tracked in ROADMAP.md.

What's inside the environment

Beyond per-action policy, a Charter can confine the agent process itself and keep its work:

  • In-sandbox confinement. runeward-supervisor runs as PID 1 in the sandbox image and launches the agent under Landlock filesystem rules, a seccomp filter and a dropped identity, from the Charter's [filesystem] and [process] sections. See Isolation and the security model.
  • Credential brokering. [[endpoint]] and [[credential]] entries let the egress proxy inject real secrets into approved requests while the agent only ever sees a placeholder, and an endpoint's binaries restrict it to the listed executables (attributed per connection by the in-sandbox supervisor, strict egress only). See the security model.
  • Persistent workspaces and forks. [workspace] persist = true keeps a workspace across sleep, wake and control-plane restarts; forks start from a copy. Agent turns, Cohort memory, handoffs and [schedule] runs build on it. See [Workspaces and conte

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