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PopNx MCPMCP servers for people who use AI · explained in plain words

Runeward

by Runewarddversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.Runewardd/runeward

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: RUNEWARD_CONFIG_DIR, RUNEWARD_STATE_DIR

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • 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).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Runewardd, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1394 servers in this category
  • Published to the registry more recently than 31% of the other 1394 servers in this category
  • Basic checks equal to or better than 100% of the other 1394 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Runeward safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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