SidClaw GovernanceMCPServer

SidClaw GovernanceMCPServer

Governance proxy for MCP servers. Wraps any MCP server with policy evaluation, human approval workflows, and hash-chain audit trails. Supports stdio and Streamable HTTP transports.

Category
访问服务器

README

<div align="center">

SidClaw

The approval and accountability layer for agentic AI

Identity. Policy. Approval. Trace.

npm version PyPI version License: Apache-2.0 License: FSL CI

<a href="https://sidclaw.com" target="_blank">Website</a> · <a href="https://docs.sidclaw.com" target="_blank">Documentation</a> · <a href="https://demo.sidclaw.com" target="_blank">Live Demo</a> · <a href="https://www.npmjs.com/package/@sidclaw/sdk" target="_blank">SDK on npm</a> · <a href="https://pypi.org/project/sidclaw/" target="_blank">SDK on PyPI</a>

</div>


Your AI agents are acting without oversight. SidClaw adds the missing governance layer — policy evaluation, human approval with rich context, and tamper-proof audit trails — without changing your agent code.

What makes SidClaw different: Everyone else does Identity + Policy + Audit. SidClaw adds the Approval primitive — where a human sees exactly what an agent wants to do, why it was flagged, the agent's reasoning, and the risk level — then approves or denies with one click. That's what <a href="https://docs.sidclaw.com/docs/compliance/finra-2026" target="_blank">FINRA 2026 mandates</a>, what the <a href="https://docs.sidclaw.com/docs/compliance/eu-ai-act" target="_blank">EU AI Act requires</a>, and what no one else has shipped.

Try it right now — no signup needed:

Financial Services Demo DevOps Demo Healthcare Demo
AI sends customer email → approval required AI scales production → approval required AI orders labs → physician approves

Works With Your Stack

<div align="center">

Integrations

</div>

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. <a href="https://docs.sidclaw.com/docs/integrations" target="_blank">See all integrations →</a>

See It In Action

Customer Support Agent (Financial Services)

Atlas Financial Demo

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)

DevOps Demo

An AI agent wants to scale production services. High-risk deployments require human approval. Read-only monitoring is allowed instantly.

Clinical Decision Support (Healthcare)

Healthcare Demo

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

Agent wants to act → SidClaw evaluates → Policy decides → Human approves (if needed) → Action executes → Trace recorded

Four primitives govern every agent action:

┌──────────┐    ┌──────────┐    ┌──────────┐    ┌──────────┐
│ Identity │ →  │  Policy  │ →  │ Approval │ →  │  Trace   │
│          │    │          │    │          │    │          │
│ Every    │    │ Every    │    │ High-risk│    │ Every    │
│ agent    │    │ action   │    │ actions  │    │ decision │
│ has an   │    │ evaluated│    │ get human│    │ creates  │
│ owner &  │    │ against  │    │ review   │    │ tamper-  │
│ scoped   │    │ explicit │    │ with rich│    │ proof    │
│ perms    │    │ rules    │    │ context  │    │ audit    │
└──────────┘    └──────────┘    └──────────┘    └──────────┘
  • 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

Quick Start

npx create-sidclaw-app my-agent
cd my-agent
npm start

What happens when you run this

The CLI:

  1. Signs you up (opens the dashboard if needed)
  2. Creates a governed agent with 3 demo policies
  3. Scaffolds a project with the SDK pre-configured

Run npm start to see all three governance outcomes:

  • search_docs -- allowed (matches allow policy)
  • send_email -- requires approval (go to the <a href="https://app.sidclaw.com/dashboard/approvals" target="_blank">dashboard</a> to approve)
  • export_data -- denied (blocked by policy)

<details> <summary><strong>Add to Existing Project (TypeScript)</strong> — use this if you already have an agent and want to add governance</summary>

See the <a href="https://docs.sidclaw.com/docs/quickstart" target="_blank">quickstart guide</a> for step-by-step instructions covering SDK installation, agent registration, policy creation, and wrapping your tools with governance.

npm install @sidclaw/sdk
import { AgentIdentityClient, withGovernance } from '@sidclaw/sdk';

const client = new AgentIdentityClient({
  apiKey: process.env.SIDCLAW_API_KEY,
  apiUrl: 'https://api.sidclaw.com',
  agentId: process.env.SIDCLAW_AGENT_ID,
});

const sendEmail = withGovernance(client, {
  operation: 'send_email',
  target_integration: 'email_service',
  resource_scope: 'customer_emails',
  data_classification: 'confidential',
}, async (to, subject, body) => {
  await emailService.send({ to, subject, body });
});

await sendEmail('customer@example.com', 'Follow-up', 'Hello...');
// Policy says "allow"? → executes immediately
// Policy says "approval_required"? → waits for human approval
// Policy says "deny"? → throws ActionDeniedError, no email sent

</details>

<details> <summary><strong>Add to Existing Project (Python)</strong> — use this if you already have a Python agent</summary>

See the <a href="https://docs.sidclaw.com/docs/quickstart" target="_blank">quickstart guide</a> for full setup instructions.

pip install sidclaw
import os
from sidclaw import SidClaw
from sidclaw.middleware.generic import with_governance, GovernanceConfig

client = SidClaw(
    api_key=os.environ["SIDCLAW_API_KEY"],
    agent_id=os.environ["SIDCLAW_AGENT_ID"],
)

@with_governance(client, GovernanceConfig(
    operation="send_email",
    target_integration="email_service",
    data_classification="confidential",
))
def send_email(to, subject, body):
    email_service.send(to=to, subject=subject, body=body)

</details>

Integrations

SidClaw wraps your existing agent tools — no changes to your agent logic.

Agent Frameworks

TypeScript Python
Core client @sidclaw/sdk sidclaw
MCP proxy @sidclaw/sdk/mcp sidclaw.mcp
LangChain @sidclaw/sdk/langchain sidclaw.middleware.langchain
OpenAI Agents @sidclaw/sdk/openai-agents sidclaw.middleware.openai_agents
CrewAI @sidclaw/sdk/crewai sidclaw.middleware.crewai
Vercel AI @sidclaw/sdk/vercel-ai —
Pydantic AI — sidclaw.middleware.pydantic_ai
Claude Agent SDK @sidclaw/sdk/claude-agent-sdk sidclaw.middleware.claude_agent_sdk
Google ADK @sidclaw/sdk/google-adk sidclaw.middleware.google_adk
LlamaIndex @sidclaw/sdk/llamaindex sidclaw.middleware.llamaindex
Composio @sidclaw/sdk/composio sidclaw.middleware.composio
NemoClaw @sidclaw/sdk/nemoclaw sidclaw.middleware.nemoclaw
Webhooks @sidclaw/sdk/webhooks sidclaw.webhooks

Platform Integrations

Integration Description
OpenClaw Governance proxy for OpenClaw skills. Published as sidclaw-governance on ClawHub. <a href="https://docs.sidclaw.com/docs/integrations/openclaw" target="_blank">Guide →</a>
MCP Governance proxy for any MCP server. CLI binary (sidclaw-mcp-proxy) + programmatic API. Supports stdio and Streamable HTTP. <a href="https://docs.sidclaw.com/docs/integrations/mcp" target="_blank">Guide →</a>
NemoClaw Govern NVIDIA NemoClaw sandbox tools with MCP-compatible proxy generation. <a href="https://docs.sidclaw.com/docs/integrations/nemoclaw" target="_blank">Guide →</a>
Copilot Studio Governance for Microsoft Copilot Studio skills via OpenAPI action. <a href="https://docs.sidclaw.com/docs/integrations/copilot-studio" target="_blank">Guide →</a>
GitHub Copilot Governance for GitHub Copilot agents via HTTP transport. <a href="https://docs.sidclaw.com/docs/integrations/github-copilot" target="_blank">Guide →</a>
GitHub Action sidclawhq/governance-action@v1 — reusable CI governance step. <a href="https://docs.sidclaw.com/docs/integrations/github-action" target="_blank">Guide →</a>

Notification Channels

Approval requests are delivered to your team's preferred channels. Reviewers can approve or deny directly from chat.

Channel Features
Slack Block Kit messages with interactive Approve/Deny buttons. Messages update in-place after decision.
Microsoft Teams Adaptive Card notifications with Approve/Deny buttons (Bot Framework) or dashboard links (webhook).
Telegram HTML messages with inline keyboard. Callback updates remove buttons and add reply.
Resend Email notifications for approval requests via transactional email.

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 (<a href="https://neuraltrust.ai/guides/the-state-of-ai-agent-security-2026" target="_blank">NeuralTrust 2026</a>)
  • 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 (August 2026) mandates human oversight, automatic logging, and risk management for high-risk AI systems
  • OpenClaw has 329K+ stars and 13,700+ skills — but <a href="https://thehackernews.com/2026/02/researchers-find-341-malicious-clawhub.html" target="_blank">1,184 malicious skills were found</a> 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.

Platform Features

For Developers

  • 60-second setup — npx create-sidclaw-app scaffolds 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-proof)
  • SIEM export — JSON and CSV, continuous webhook delivery
  • Compliance mapping — <a href="https://docs.sidclaw.com/docs/compliance/finra-2026" target="_blank">FINRA 2026</a>, <a href="https://docs.sidclaw.com/docs/compliance/eu-ai-act" target="_blank">EU AI Act</a>, <a href="https://docs.sidclaw.com/docs/compliance/nist-ai-rmf" target="_blank">NIST AI RMF</a>

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

┌─────────────┐     ┌──────────────┐     ┌──────────────────┐
│ Your Agent  │     │  SidClaw SDK │     │  SidClaw API     │
│             │ ──► │              │ ──► │                  │
│ LangChain   │     │ evaluate()   │     │ Policy Engine    │
│ MCP Server  │     │ withGovern() │     │ Approval Service │
│ OpenAI SDK  │     │ governTools()│     │ Trace Store      │
│ Any tool    │     │              │     │ Webhook Delivery │
└─────────────┘     └──────────────┘     └──────────────────┘
                                                   │
                                          ┌────────┴────────┐
                                          ▼                 ▼
                                ┌──────────────┐  ┌──────────────┐
                                │  Dashboard   │  │ Notifications│
                                │              │  │              │
                                │ Agents       │  │ Slack        │
                                │ Policies     │  │ Teams        │
                                │ Approvals    │  │ Telegram     │
                                │ Traces       │  │ Email        │
                                │ Settings     │  │ Webhooks     │
                                └──────────────┘  └──────────────┘

Deploy

One-Click Deploy

Deploy on Railway

Deploy from the GitHub repo to Railway. Add a PostgreSQL database, configure environment variables, and you're live.

Deploy with Vercel

Deploy the dashboard to Vercel (requires a separately hosted API).

<details> <summary>Deploy Docs or Landing Page to Vercel</summary>

Docs:

Deploy with Vercel

Landing Page:

Deploy with Vercel

</details>

Self-Host (Docker)

curl -sSL https://raw.githubusercontent.com/sidclawhq/platform/main/deploy/self-host/setup.sh | bash

Or manually:

git clone https://github.com/sidclawhq/platform.git
cd platform
cp deployment/env.example .env  # edit with your values
docker compose -f docker-compose.production.yml up -d

Development credentials:

  • Email: admin@example.com / Password: admin
  • Or click "Sign in with SSO" on the login page to auto-login without a password

Hosted Cloud

No infrastructure to manage. <a href="https://app.sidclaw.com/signup" target="_blank">Start free at app.sidclaw.com</a>

See <a href="https://docs.sidclaw.com/docs/enterprise/self-hosting" target="_blank">deployment documentation</a> for production configuration, environment variables, and upgrade guides.

Documentation

  • <a href="https://docs.sidclaw.com/docs/quickstart" target="_blank">Quick Start</a> — 2 minutes to first governed action
  • <a href="https://docs.sidclaw.com/docs/sdk/client" target="_blank">SDK Reference</a> — every method documented
  • <a href="https://docs.sidclaw.com/docs/integrations" target="_blank">Integrations</a> — MCP, OpenClaw, NemoClaw, LangChain, OpenAI, Claude Agent SDK, Google ADK, Copilot Studio, GitHub Copilot, and more
  • <a href="https://docs.sidclaw.com/docs/platform/policies" target="_blank">Policy Guide</a> — authoring, versioning, testing
  • <a href="https://docs.sidclaw.com/docs/compliance/finra-2026" target="_blank">Compliance</a> — FINRA, EU AI Act, NIST AI RMF
  • <a href="https://docs.sidclaw.com/docs/api-reference" target="_blank">API Reference</a> — 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

  • <a href="https://sidclaw.com" target="_blank">Website</a>
  • <a href="https://docs.sidclaw.com" target="_blank">Documentation</a>
  • <a href="https://app.sidclaw.com" target="_blank">Dashboard</a>
  • <a href="https://www.npmjs.com/package/@sidclaw/sdk" target="_blank">TypeScript SDK (npm)</a>
  • <a href="https://pypi.org/project/sidclaw/" target="_blank">Python SDK (PyPI)</a>
  • <a href="https://github.com/sidclawhq/python-sdk" target="_blank">Python SDK (GitHub)</a>
  • <a href="https://www.npmjs.com/package/create-sidclaw-app" target="_blank">create-sidclaw-app (npm)</a>
  • <a href="https://github.com/sidclawhq/governance-action" target="_blank">GitHub Action</a>
  • <a href="https://github.com/apps/sidclaw-governance" target="_blank">GitHub App</a>
  • <a href="mailto:hello@sidclaw.com">Contact</a>

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选