
Sidclaw Governance Mcp
io.github.VladUZH由 GitHub 账号 VladUZH 发布v0.1.13更新于 Oct 25, 2026
Governance proxy for MCP servers — policy evaluation, human approval, audit trails.
概览
一个本地治理代理,包裹任意 MCP 服务器,按 SidClaw 策略检查每次工具调用,并将高风险操作挂起等待人工审批并留痕。
- 可以做什么
- 拦截并转发工具调用到你配置的上游 MCP 服务器,让助手的工具经由 SidClaw 执行而非直接运行。按策略评估每次调用,在执行前返回允许、需审批或拒绝。将高风险操作挂起等待人工审核,可立即返回或阻塞至作出决定。把每次决定记入防篡改的审计记录。
- 适用场景
- 当你希望对 AI 助手通过 MCP 工具执行的操作进行监督时使用,尤其是删除、部署、交易或发送客户邮件等破坏性或高影响操作。适合需要人工审批检查点和审计记录以满足合规要求的团队。
- 运行要求
- 通过 npm 包以 stdio 在本地运行。需要 SIDCLAW_AGENT_ID、密钥 SIDCLAW_API_KEY、用于指定被包裹服务器的 SIDCLAW_UPSTREAM_CMD 和 SIDCLAW_UPSTREAM_ARGS;SIDCLAW_APPROVAL_MODE 可选。需要访问 SidClaw API(托管或自建)的网络连接及 SidClaw 账户。
安装
在 SourceWeft 中
- 打开 控制台中的 Sidclaw Governance Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
SidClaw
Approve, deny, and audit AI agent tool calls.
Works with MCP, LangChain, OpenAI Agents, Claude Agent SDK, and 15+ more.
[GitHub stars] [npm version] [PyPI version] [License: Apache-2.0] [License: FSL] [Tests] [CI]
Website · Documentation · Live Demo · SDK on npm · SDK on PyPI
Your agents call tools without oversight. SidClaw intercepts every tool call, checks it against your policies, and holds risky actions for human review before they execute.
Try it locally (10 seconds, no signup)
Opens a local governance dashboard at http://localhost:3030 with four pre-loaded scenarios (Claude Code rm -rf, fintech trade, DevOps scale-to-zero, clinical lab order). No signup, no Docker, no API key — just the approval card UX running in your browser.
See it in action
Agent wants to send an email → policy flags it → reviewer sees full context → approves or denies → trace recorded.
Works With Your Stack
SidClaw integrates with 18+ frameworks and platforms — including OpenClaw (329K+ users), LangChain, OpenAI, MCP, Claude Agent SDK, Google ADK, NemoClaw, Copilot Studio, GitHub Copilot, and more. Add governance in one line of code. See all integrations →
See It In Action
Customer Support Agent (Financial Services)
An AI agent wants to send a customer email. Policy flags it for review. The reviewer sees full context — who, what, why — and approves with one click. Every step is traced.
Infrastructure Automation (DevOps)
An AI agent wants to scale production services. High-risk deployments require human approval. Read-only monitoring is allowed instantly.
Clinical Decision Support (Healthcare)
An AI assistant recommends lab orders. The physician reviews the clinical context and approves. Medication prescribing is blocked by policy — only physicians can prescribe.
How It Works
Four primitives govern every agent action:
- allow → action executes immediately, trace recorded
- approval_required → human sees context card, approves/denies, trace recorded
- deny → blocked before execution, no data accessed, trace recorded
Deploy your own SidClaw instance ($0)
Railway is the recommended one-click deploy — it spins up Postgres + API + Dashboard together. Vercel hosts only the Next.js dashboard; pair it with a hosted API.
Vercel (dashboard only — point at an existing SidClaw API)
Vercel can only host the dashboard (Next.js). The API is Fastify — deploy it to Railway, Fly, Render, or run via Docker. Set NEXT_PUBLIC_API_URL on the dashboard project to point at it.
Under 3 minutes to a working instance on Railway.
Quick Start — Pick What Fits
Option 1: Claude Code Hooks (zero code)
For Claude Code users. Every Bash, Write, Agent, mcp__* tool call is governed by SidClaw:
Restart Claude Code. rm -rf pauses for approval, git push --force gets flagged, every tool call is traced with a hash-chained audit trail. See hooks/README.md.
Option 2: create-sidclaw-app (interactive scaffold)
Option 3: MCP Governance Proxy (zero code, wraps any MCP server)
Jump to the MCP Governance Proxy section below.
Option 4: SDK wrapper (one line per tool)
Same thing in Python
Full TypeScript example with imports
Full Python example with imports
MCP Governance Proxy
Wrap any MCP server with policy evaluation and approval workflows. Works with Claude Desktop, Cursor, VS Code, GitHub Copilot — any MCP client. Listed on the official MCP Registry.
Add to your .mcp.json:
SELECT * FROM customers→ allowed (~50ms overhead)DELETE FROM customers WHERE id = 5→ held for human approvalDROP TABLE customers→ denied by policy
Why not just auth / sandboxing / logging?
SidClaw sits at the tool-call layer: the moment an agent decides to act in the real world.
Integrations
SidClaw wraps your existing agent tools — no changes to your agent logic.
Agent Frameworks
Platform Integrations
Notification Channels
Approval requests are delivered to your team's preferred channels. Reviewers can approve or deny directly from chat.
Licensing
Start with just the SDK? You don't need the platform. The SDK works standalone with the free hosted API at app.sidclaw.com, or you can self-host everything.
Why This Exists
AI agents are being deployed in production, but the governance layer is missing:
- 73% of CISOs fear AI agent risks, but only 30% are ready (NeuralTrust 2026)
- 79% of enterprises have blind spots where agents act without oversight
- FINRA 2026 explicitly requires "documented human checkpoints" for AI agent actions in financial services
- EU AI Act mandates human oversight, automatic logging, and risk management for high-risk AI systems — obligations apply from 2 December 2027 (Annex III) and 2 August 2028 (product-embedded), deferred from August 2026 by the 2026 Digital Omnibus
- OpenClaw has 329K+ stars and 13,700+ skills — but 1,184 malicious skills were found in the ClawHavoc campaign. There's no policy layer governing what skills can do.
The big vendors (Okta, SailPoint, WorkOS) handle identity and authorization. But none of them ship the approval step — the part where a human sees rich context and makes an informed decision before an agent acts.
Compliance
SidClaw maps to regulatory requirements across the US, EU, Switzerland, and Singapore:
🇺🇸 FINRA 2026 · 🇪🇺 EU AI Act · 🇨🇭 FINMA · 🇸🇬 MAS TRM · 🇺🇸 NIST AI RMF · 🌐 OWASP Agentic
Platform Features
For Developers
- 60-second setup —
npx create-sidclaw-appscaffolds a working governed agent - <50ms evaluation overhead — the governance layer is invisible to your users
- 5-minute integration — wrap existing tools, no code changes
- MCP-native — governance proxy for any MCP server
- Framework-agnostic — LangChain, Vercel AI, OpenAI, CrewAI, Pydantic AI, Composio, Claude Agent SDK, Google ADK, LlamaIndex, NemoClaw, or plain functions
- Typed SDKs — TypeScript (npm) + Python (PyPI)
For Security & Compliance Teams
- Policy engine — allow / approval_required / deny with priority ordering and classification hierarchy
- Approval workflow — context-rich cards with agent reasoning, risk classification, and separation of duties
- Audit trails — correlated traces with integrity hash chains (tamper-evident)
- SIEM export — JSON and CSV, continuous webhook delivery
For Platform Teams
- RBAC — admin, reviewer, viewer roles with enforced permissions
- Tenant isolation — automatic tenant scoping on every query
- API key management — scoped keys with rotation
- Rate limiting — per-tenant, per-endpoint-category
- Webhooks — real-time notifications for approvals, traces, lifecycle events
- Chat integrations — approve/deny from Slack, Teams, or Telegram without opening the dashboard
- Self-serve signup — GitHub, Google, email/password
Architecture
Deploy
One-Click Deploy
Deploy from the GitHub repo to Railway. Add a PostgreSQL database, configure environment variables, and you're live.
Deploy the dashboard to Vercel (requires a separately hosted API).
Self-Host (Docker)
Or manually:
Development credentials:
- Email:
[email protected]/ Password:admin - Or click "Sign in with SSO" on the login page to auto-login without a password
Hosted Cloud
No infrastructure to manage. Start free at app.sidclaw.com
See deployment documentation for production configuration, environment variables, and upgrade guides.
Documentation
- Quick Start — 2 minutes to first governed action
- SDK Reference — every method documented
- Integrations — MCP, OpenClaw, NemoClaw, LangChain, OpenAI, Claude Agent SDK, Google ADK, Copilot Studio, GitHub Copilot, and more
- Policy Guide — authoring, versioning, testing
- Compliance — 🇺🇸 FINRA · 🇪🇺 EU AI Act · 🇨🇭 FINMA · 🇸🇬 MAS TRM · 🇺🇸 NIST AI RMF · 🌐 OWASP
- API Reference — every endpoint
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
The SDK (packages/sdk/) is Apache 2.0. The platform (apps/) is FSL 1.1.
License
- SDK (
packages/sdk/,packages/shared/): Apache License 2.0 — use freely for any purpose - Platform (
apps/api/,apps/dashboard/,apps/docs/,apps/landing/,apps/demo*/): Functional Source License 1.1 — source-available. Cannot offer as a competing hosted service. Converts to Apache 2.0 after 2 years (March 2028).
Links
来源:README.md,提交 eaa0d3d
工具
0版本历史
1- v0.1.13最新Sep 16, 2026
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