mcp server
Aegis — AI Agent Governance
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
Description as published by the maintainer. Source
- version 0.1.7
- slowing
- security
slowing — Most recent push to the repository was 2026-05-05. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 15 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-05-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 8 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.7 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-03-22 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-03-22 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
io.github.declaw-ai/mcp-server
— last commit 2026-06-16, shares ai-security, pii-detection, prompt-injection
Secure Firecracker microVM sandboxes for AI agents: network policy, PII & injection guardrails.
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pkgxray
— last commit 2026-08-06, shares ai-agent-security, mcp-security, prompt-injection
Pre-install security scans for npm packages, MCP servers, and AI agents with cited verdict evidence.
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ai.marchward/mcp-server
— last commit 2026-07-01, shares ai-agent-security, ai-safety, langchain
Runtime authority for AI agents: credential mediation, spend cap, approval gates, audit log.
-
emisar
— last commit 2026-08-06, shares policy-as-code
Let AI operate servers without SSH. Choose actions, approve risky changes, and audit every step.
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ControlKeel
— last commit 2026-08-06, shares policy-as-code
Governed MCP workflows with policy validation, findings tracking, and review gates.
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Bawbel Scanner
— last commit 2026-07-05, shares agent-security, ai-security, llm-security
Security scanner for MCP servers and skill files. Detects AVE vulnerabilities before production.
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Bawbel Scanner
— last commit 2026-07-05, shares agent-security, ai-security, llm-security
Security scanner for MCP servers and skill files. Detects AVE vulnerabilities before production.
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Aperion Shield
— last commit 2026-08-04, shares ai-safety, llm-security, policy-engine
Local guardrail proxy that blocks destructive MCP tool calls, rug pulls, and tool poisoning
-
com.scopeblind/protect-mcp
— last commit 2026-07-09, shares ai-security, audit-trail, policy-engine
Fail-closed Cedar policy gate + Ed25519 signed receipts for agent tool calls. Denies on any error.
-
io.github.dl-eigenart/agentshield-mcp
— last commit 2026-05-11, shares agent-security, ai-safety, ai-security
Detect prompt injection, jailbreak, and social-engineering attacks in LLM agents.
These share tags the maintainers applied themselves, such as ai-security, pii-detection, prompt-injection, ai-agent-security. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-security, ai-agent-security, ai-agents, ai-governance, ai-safety, ai-security, audit-trail, compliance, guardrails, langchain, llm-security, mcp, mcp-security, model-context-protocol, pii-detection, policy-as-code, policy-engine, policy-testing, prompt-injection, selection-governance.
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