MCP.Market

Ironclaw MCP server

by IronSecCo·io.github.IronSecCo/ironclaw·v0.1.569·19 stars

Sandboxed shell exec for MCP clients: run untrusted agent commands in a gVisor container.

B70/100grade B
What users say
No reviews yet
Be the first
Safety scan
B70/100

not scanned yet

Adoption
Growing

19 stars

Reviews

Write one

Nobody has reviewed Ironclaw yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Ironclaw tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How Ironclaw compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
70/100
higher than 37% of 4,460 AI and agents servers
GitHub stars
19
more than 89% of 2,711 AI and agents servers

Release history: 8 versions in the registry since 2026-09-16, latest 2026-11-02, typically one every 8 days.

Install Ironclaw in Claude Code, Cursor or VS Code

claude mcp add ironclaw -- docker run -i --rm ghcr.io/ironsecco/ironclaw-mcp:v0.1.569
Add to Cursor

What the publisher says

From the Ironclaw repository's README, as published. We do not edit it. Read it on GitHub

Self-hosted AI agents you do not have to trust.

Each one runs sealed in a sandbox that provably cannot phone home, read your host, or rewrite its own rules.

<!-- Security & supply-chain trust cluster — lead with what makes this project different -->

IronClaw runs autonomous AI agents on infrastructure you control, reached through the chat apps you already use. Each agent can read, write, schedule, and reply like any assistant, but it lives inside a sealed sandbox with network=none: it reaches the model only through a host proxy, and it cannot change its own configuration. It is for anyone who wants what agents can do without handing an autonomous program the keys to their machine.

Now on the GitHub Marketplace. The ironctl scan containment grader ships as a

GitHub Action: drop one

line into a workflow and every pull request gets a 0 to 100 sandbox isolation scorecard as

a sticky comment. Local, read-only, credential-free.

yaml

# .github/workflows/scan.yml

- uses: IronSecCo/ironclaw@v1

with:

target: my-container # a container, compose service, or k8s manifest

Report-only by default; set min-score: 90 to gate merges. See scan in CI.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Ironclaw: common questions

Is Ironclaw MCP server safe?
Mostly: it is graded B (70/100). Read the Ironclaw safety report
How do I install Ironclaw?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Ironclaw need an API key?
Yes. The registry entry asks for IRONCLAW_API_TOKEN.
Is Ironclaw maintained?
The last commit was 35 days ago (2026-09-30). The latest release is v0.1.569.
What can I use instead of Ironclaw?
Servers from other publishers that do the same job: LLM Sandbox MCP server, Commands MCP server and Shellward MCP server.
How does Ironclaw compare with other AI and agents MCP servers?
safety score 70/100 (higher than 37% of 4,460 AI and agents servers); github stars 19 (more than 89% of 2,711 AI and agents servers). Full comparison.

Alternatives to Ironclaw

Same job from other publishers: the closest match first, then the best rated.

  • LLM Sandbox
    Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.
    A
  • Commands
    Model Context Protocol server to run commands (tool: `runProcess`)
    A
  • Shellward
    AI agent security: 7 MCP tools for injection detection, PII scanning, command safety, DLP.
    A