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1 ★ · suhui-organization/pod · read from the GitHub search API · (checked 2026-10-16 20:00:20)
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collected from the punkpeye/awesome-mcp-servers list · type: MCP server
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first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
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score 703 · 1 ★ · 7 sources · mcp
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
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repository suhui-organization/pod;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
> Your agent ran for a week. pod compiles what it actually did into the smallest policy it needs. > > 让 AI Agent 只拥有它真正需要的权限——从真实行为编译最小权限策略。 **Record → compile → enforce → prove.** Most agent security tools stop at one of two places: a scanner that tells you what your agent *could* touch, or a gateway that asks you to *hand-write* a policy. pod closes the loop — run your agent in record-only mode for a few days, compile a least-privilege policy from its real tool calls, enforce it, and keep tamper-evident evidence for everything that ran. 中文速览 - **不是又一个 MCP 网关**:网关让你手写策略;pod 从 agent 的真实行为里**编译**出最小权限策略。 - **闭环**:pod record(只录不拦)→ pod policy draft(生成策略 + 与基线 diff)→ 人工复核 → pod serve(执法)。 - **证据**:每一次工具调用进入 SHA-256 哈希链,可校验、可导出为证据包(敏感内容只存哈希)。 - **本地优先**:策略、审计、密钥不出你的机器;Pod Cloud 是可选控制平面。 See it in 5 minutes No agent, no account, no data leaves your machine — everything runs in a temp directory: It seeds a realistic week of tool calls (reads, writes, a delete, and one .env access), then compiles a policy from that corpus and diffs it against a permissive baseline: Two details matter here: read_file is locked down because it touched .env **once** (observation beats guessing), and get_file_info is removed because it never appeared in the corpus (least privilege = don't grant what you didn't observe). Install The installer clones v0.4.2 to ~/.pod/src, builds, and puts pod in ~/.local/bin. Override with POD_SRC, POD_BIN_DIR, POD_REPO_URL, POD_VERSION(POD_VERSION=main 跟主干)。 **中文 / English**:CLI 输出支持中英切换——pod --lang en-US ,或设一次 POD_LANG=en-US(也会读 LC_ALL / LANG)。默认中文;未翻译的句子原样显示, 不会出现空白或 key 名。pod guard 与 pod harden 的报表、威胁目录与交付物 **整篇有英文**(含 finding 正文与策略草稿的判定依据),由 CI 断言守门。 覆盖进度自查:bash scripts/i18n-coverage.sh (列出还没英文词条的串和词表里的僵尸键,--strict 有缺口时退出 1);控制台另有 真机逐页验收 bash scripts/web-acceptance.sh(指到 k8s 后端、无头 Chrome 点一遍, 断言"每页都渲染了内容且没有非数据中文")。 Run the MCP gateway as a container 同一个网关也能以自包含镜像运行:镜像里已经构建好 CLI、预装了上游 filesystem server, 默认用 baseline 策略(只读工具放行,写操作进审批),从 stdio 暴露 MCP。 要换成别的上游 server 或策略,覆盖 entrypoint 参数即可;默认等价于 pod serve --agent glama --server filesystem --command mcp-server-filesystem --arg /workspace。 (公开目录收录时要求的检查也是这两步:进程能启动、能响应 initialize / tools/list。) Requires **Node.js ≥ 22.13** (pnpm 11's runtime floor) and git. What's in this repo 一个仓库包含完整闭环:本地在 agent 机器上执法,云端(可选)做跨机器视图。 | 路径 | 是什么 | 怎么装 | |---|---|---| | packages/ | 核心库:策略求值、审计哈希链、网关、能力图、控制平面姿态、身份/委托/JIT、扫描器 | pnpm install && pnpm build | | apps/cli | pod 命令行(网关 + 策略编译 + 证据 + 控制平面命令) | bash scripts/install.sh | | apps/web | 本地控制台(pod ui:读为主,写操作只有纳管/移除) | 随 CLI 构建 | | cloud/server | 可选云端控制平面后端(FastAPI):agent 注册、审计同步、策略中心、告警、时间线、控制平面事件 | bash deploy/install.sh | | cloud/web | 云端控制台前端(Vue 3 + Element Plus) | 同上(随 docker 构建) | | deploy/ | 一键部署:install.sh + docker-compose.yml + .env.example(含每个配置项说明) | bash deploy/install.sh | | cloud/server/deploy/k8s/ | Kubernetes 清单(参考,适合本机 kind/Docker-Desktop 集群) | bash cloud/server/deploy/k8s/install-local.sh | 能力与价值速览见 docs/FEATURES.md。 From source: > npm i -g @podsec/cli is **not live yet** — use the installer above until the package is published. From zero to enforcement What pod is / is not | pod is | pod is not | | --- | --- | | A **policy compiler**: turns real tool-call corpora into least-privilege rules | A sandbox or a container runtime | | A **policy enforcement point** on the MCP boundary (fail-closed) | A replacement for your agent's own sandbox | | A **tamper-evident audit + evidence layer** across agents | An LLM content-moderation firewall | | **Local-first**: policies, audits and secrets stay on your machine | A cloud service that needs your logs | Compared with the rest of the market: platform-native sandboxes (Claude Code, Codex, Gemini CLI) protect **one agent**; MCP gateways (agentgateway, ToolHive, ContextForge, Docker) give you a **place to enforce hand-written rules**; scanners (Snyk Agent Scan, mcp-guard) tell you **what is exposed**. pod is the missing step between "what is exposed" and "what is allowed": it **writes the policy for you from observed behavior**, then proves what happened.