铁爪 是 AI Skill Hub 本期精选MCP工具之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
铁爪 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
铁爪 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/IronSecCo/ironclaw
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"--": {
"command": "npx",
"args": ["-y", "ironclaw"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 铁爪 执行以下任务... Claude: [自动调用 铁爪 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"__": {
"command": "npx",
"args": ["-y", "ironclaw"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<img src="docs/assets/logo.svg" alt="IronClaw" width="380">
ironctl change pending ironctl change approve <change-id> --by alice
| Requirement | For | Notes |
|---|---|---|
| **Go 1.23+ and a C toolchain** | building everything | CGO_ENABLED=1 is required — the encrypted-SQLite binding builds via cgo |
**containerd + gVisor (runsc)** | production sandboxing | runtime io.containerd.runsc.v1; not needed for --dev |
| **Tailscale** | remote admin access | the control-plane API binds to the tailnet IP; no public port |
| **SQLCipher (vendored)** | encrypted queues | the SQLCipher C amalgamation is vendored by the driver; no system lib needed |
| **A model credential** | live model calls | an Anthropic / OpenAI / OpenRouter key, or a gateway like OneCLI — injected host-side into the model proxy, never into the sandbox ([Model providers](#model-providers)) |
The three external runtime dependencies (gVisor, Tailscale, the encrypted-SQLite binding) are intentionally not vendored. See deploy/README.md for host setup.
curl -fsSL https://raw.githubusercontent.com/IronSecCo/ironclaw/main/scripts/install.sh | sh
curl -fsSL https://raw.githubusercontent.com/IronSecCo/ironclaw/main/scripts/install.sh | sudo sh
curl -fsSL https://raw.githubusercontent.com/IronSecCo/ironclaw/main/scripts/install.sh | IRONCLAW_BINDIR="$HOME/bin" sh
Then confirm what you installed:
sh ironctl --version ```
Prefer to grab files by hand? Download the archive and SHA256SUMS for your platform from the latest release.
make build # == go build ./...
go build -o /usr/local/bin/ironclaw-controlplane ./cmd/controlplane go build -o /usr/local/bin/ironctl ./cmd/ironctl ```
For a full system install — build and install the binaries, provision /etc/ironclaw and /var/lib/ironclaw, and enable the service (systemd on Linux, launchd on macOS) — run sudo deploy/install.sh. It needs root to write under /etc and /var/lib. The external runtime dependencies it relies on (containerd + gVisor and Tailscale) are set up separately — see deploy/README.md.
Self-host the control-plane in one command. From a clone:
cp .env.example .env # fill in ANTHROPIC_API_KEY (optional to boot)
docker compose up -d # builds locally on first run, or pulls the GHCR image
docker compose logs -f controlplane # CLAIM the admin token printed once on first run
The admin/API token is minted on first run and printed once in the logs (there is no recovery) unless you set IRONCLAW_API_TOKEN yourself. The admin API is published on 127.0.0.1:8787 only — front it with Tailscale for remote access.
Prefer the published image? It is pushed to GitHub Container Registry on every release:
```sh docker pull ghcr.io/ironsecco/ironclaw-controlplane:latest
```
Set IRONCLAW_IMAGE in .env to pin that tag for docker compose. Every variable the control-plane reads is documented in .env.example. The agent sandboxes themselves are not compose services — the control-plane launches them as gVisor (runsc) children with network=none; running real sandboxes needs a runsc-capable host (see deploy/README.md).
Going to production? The deployment guide covers the hardened, durable posture: locked-down deploy/docker-compose.prod.yml (read-only rootfs, dropped caps, resource limits) behind a TLS reverse proxy (deploy/Caddyfile), secrets via an env-file, encrypted-state backup/restore, pinned-digest upgrades, and Prometheus /metrics.
A fuller local walkthrough — run the control-plane from source in dev mode (no gVisor, binds to loopback) and drive it with the admin CLI:
```sh
Runnable recipes live in examples/ — each is a directory with a README.md and a setup.sh. Three of them ship a run-mock.sh that drives the whole inbound → agent → reply pipeline on the offline mock provider, so a fresh clone runs them with no model key and no channel tokens:
docker compose -f docker-compose.demo.yml up -d --build # seeds the offline mock-agent
./examples/scheduled-report/run-mock.sh # cron-style self-scheduling summary
./examples/webhook-responder/run-mock.sh # inbound webhook → agent reply
./examples/slack-triage/run-mock.sh # classify/label every message
scheduled-report/ — wakes itself on a schedule (schedule_task), summarizes, posts to a channel. (credential-free demo)webhook-responder/ — routes an inbound HTTP webhook to an agent that replies. (credential-free demo)slack-triage/ — classifies/labels every incoming Slack message. (credential-free demo)personal-assistant/ — a private 1:1 assistant on Telegram, plus a walk-through of the mandatory change-approval flow.channel-triage/ — a Slack triage bot that engages only on @mention, only for known senders.multi-agent-team/ — two agents sharing one channel, separated by engage mode and priority.ironctl agent create
- State lives under --state-dir: the durable gateway change store (survives restart), the append-only JSONL audit log, and the host keystore. - Secrets are host-only. The model credential (an Anthropic / OpenAI / OpenRouter key, or a credential gateway like OneCLI — see Model providers) is applied to outbound model calls by the host modelproxy; the sandbox never sees it and has network=none. Per-session 256-bit keys are generated and held by the host and handed to the sandbox via tmpfs at launch — never via an env var, never baked into the image. - Mesh. Bind --api-addr to the Tailscale interface and firewall the API port on every other interface. See deploy/README.md.
export IRONCLAW_API_TOKEN=$(openssl rand -hex 32) ironclaw-controlplane --dev --api-addr 127.0.0.1:8787 &
This is a feature, not a missing dashboard. Every capability is a documented HTTP endpoint and an ironctl subcommand, so IronClaw is scriptable, auditable, and CI-friendly from the first command — with no public web surface to phish, misconfigure, or leave exposed. (There is now a private, mesh-only web console at /ui/ — but it's additive, never the only way in, and rides the same Tailscale-bound API, so it adds no public port.)
---
| Method & path | Purpose |
|---|---|
GET /healthz | liveness (unauthenticated) |
POST /v1/changes | submit a ChangeRequest |
GET /v1/changes/pending | list pending changes |
GET /v1/changes/history | list all changes |
POST /v1/changes/{id}/decision | record an approve/reject decision |
GET /v1/audit | read the audit log |
A credential gateway is a host-local HTTP CONNECT proxy that holds the real credential and injects it per request, so neither the control-plane nor the sandbox ever sees a model key. This is how you power an agent with a ChatGPT/Codex account via OneCLI: IronClaw's codex provider speaks the ChatGPT Codex Responses API (chatgpt.com) and OneCLI attaches the OAuth credential.
Run OneCLI on the host (its default address is 127.0.0.1:10255), then point the model-proxy at it and allowlist the host it serves:
```sh
高质量的开源MCP工具,安全性强
该工具使用 AGPL-3.0 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
⚠️ AGPL 3.0 — 最严格的 Copyleft,网络服务端使用也需开源,SaaS 使用受限。
经综合评估,铁爪 在MCP工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | ironclaw |
| 原始描述 | 开源MCP工具:Security-first, self-hosted AI agents - isolation you can prove, not just promis。⭐8 · Go |
| Topics | ai-agentsai-assistantgolang |
| GitHub | https://github.com/IronSecCo/ironclaw |
| License | AGPL-3.0 |
| 语言 | Go |
收录时间:2026-06-24 · 更新时间:2026-06-24 · License:AGPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端