sidclawhq/platform
by Various
The approval and accountability layer for agentic AI. Identity → Policy → Approval → Trace. Try: npx sidclaw-mcp-guard demo
MCP
sidclawhq/platform
Added 1 June 2026
Overview
The sidclawhq/platform is an open-source TypeScript library that implements an identity, policy, approval, and trace framework for agentic AI systems. It enforces an Identity → Policy → Approval → Trace pipeline to provide accountability and control over AI agent actions. Developers can test it via the command npx sidclaw-mcp-guard demo.
Best for
Best for
Developers building agentic AI systems that need governance, auditing, and approval controls.
Use cases
- Auditing and tracing AI agent decision chains
- Enforcing approval workflows before agent actions execute
- Integrating identity-based policy checks into agent pipelines
How to use
Install
git clone https://github.com/sidclawhq/platform && cd platform/packages/sidclaw-demo && node cli.mjs Tested with
Claude Desktop, Cursor, VS Code, GitHub Copilot
Notes
The sidclawhq/platform is an open-source TypeScript library that implements an identity, policy, approval, and trace framework for agentic AI systems. It enforces an Identity → Policy → Approval → Trace pipeline to provide accountability and control over AI agent actions. Developers can test it via the command npx sidclaw-mcp-guard demo.
10 stars on GitHub. Last updated 2026-05-18. Licensed Apache-2.0.
Use cases
- Auditing and tracing AI agent decision chains
- Enforcing approval workflows before agent actions execute
- Integrating identity-based policy checks into agent pipelines
Pros
- Provides a structured governance layer for autonomous AI agents
- Open source with a TypeScript codebase for easy integration
- Enables traceability and accountability in agent workflows
Cons
- Limited to 10 GitHub stars indicates early stage adoption
- Requires embedding into existing agent infrastructure
- Dependency on the npx demo command for initial evaluation
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides a structured governance layer for autonomous AI agents
- Open source with a TypeScript codebase for easy integration
- Enables traceability and accountability in agent workflows
Cons
- Limited to 10 GitHub stars indicates early stage adoption
- Requires embedding into existing agent infrastructure
- Dependency on the npx demo command for initial evaluation
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