AgentIndex icon
AgentIndex
mcp-hangar logo
mcp-hangar
★ 18
vs
DashClaw logo
DashClaw
★ 313

mcp-hangar vs DashClaw

mcp-hangar: MCP Hangar is a self-hosted policy enforcement plane for your MCP server fleet, providing deterministic admission and egress policies, attributable audit, and SIEM export. It ensures tool integrity by enforcing tool-schema digest pinning, preventing unauthorized changes to tool descriptions.; DashClaw: DashClaw acts as a governance layer for AI agents, intercepting and evaluating risky actions against policies before they execute. It routes human approval when necessary, records verifiable evidence, and ensures durable outcomes to prevent silent double-execution.

01

TL;DR

mcp-hangar logo
mcp-hangarSecurity & Safety · ★ 18

Preventing unauthorized or malicious changes to LLM tool descriptions and behavior.

Read mcp-hangar full review →
DashClaw logo
DashClawSecurity & Safety · ★ 313

Governing AI agent deployments to production systems by enforcing policies and requiring human approval for risky actions.

Read DashClaw full review →
02

Side-by-Side Comparison

Field
mcp-hangar logomcp-hangar
DashClaw logoDashClaw
Category
Security & Safety
Security & Safety
Stars
★ 18
★ 313
License
MIT
MIT
Install Command
pip install mcp-hangar && mcp-hangar init -y
npm install dashclaw && pip install dashclaw
Updated
1d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Policy Enforcement, Admission Control, Egress Control
AI Agent Governance, Policy Enforcement, Agent Security
03

Features

mcp-hangar logomcp-hangar
01L7 egress policy for LLM tools
02Tool-schema digest pinning to prevent unauthorized tool changes
03Auth & RBAC for secure tool access
04Attributable audit records for SIEM export
05Human-in-the-loop approvals for critical operations
DashClaw logoDashClaw
01Intercept risky agent actions and enforce declarative policies (Block, warn, hold for approval) before execution.
02Verify agent identity using JWKS-verified OIDC tokens, providing cryptographic attribution and replay protection.
03Route pending approvals to various surfaces (dashboard, CLI, PWA, Telegram, Discord) for one-tap allow or deny.
04Record every agent action as a replayable decision record with declared goal, reasoning, risk score, and matched policies.
05Ensure durable execution finality with one-shot, retry-safe outcomes and automatic detection of lost confirmations.
04

Use Cases

mcp-hangar logomcp-hangar
↳Preventing unauthorized or malicious changes to LLM tool descriptions and behavior.
↳Implementing granular access control and permissions for different users or tenants accessing LLM tools.
↳Maintaining an attributable audit trail of all LLM tool interactions for compliance and security monitoring.
↳Gating sensitive or high-impact LLM tool operations with a human review and approval process.
DashClaw logoDashClaw
↳Governing AI agent deployments to production systems by enforcing policies and requiring human approval for risky actions.
↳Monitoring and auditing all agent interactions and decisions, creating a comprehensive and replayable ledger for compliance and review.
↳Securing AI agent operations with cryptographic identity verification and built-in prompt injection scanning.
↳Integrating seamlessly with popular AI agent frameworks like LangChain, CrewAI, and AutoGen to extend governance capabilities.
↳Providing a unified control plane for managing agent fleets, tracking spend, and analyzing governance posture across multiple agents.
FAQ

FAQ

What is the difference between mcp-hangar and DashClaw?
Both mcp-hangar and DashClaw are in the Security & Safety category. mcp-hangar has 18 stars, while DashClaw has 313 stars.
Which is better, mcp-hangar or DashClaw?
The best choice depends on your use case. Choose mcp-hangar if Preventing unauthorized or malicious changes to LLM tool descriptions and behavior., and DashClaw if Governing AI agent deployments to production systems by enforcing policies and requiring human approval for risky actions..
Is mcp-hangar free or open source?
Yes, mcp-hangar is open source on GitHub (MIT).
Is DashClaw free or open source?
Yes, DashClaw is open source on GitHub (MIT).
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