mcp server
agentshield-mcp
Detect prompt injection, jailbreak, and social-engineering attacks in LLM agents.
Description as published by the maintainer. Source
- version 0.1.3
- slowing
slowing — Most recent push to the repository was 2026-05-11.
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 | 0 | 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 | 2026-05-11 | 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 | 0 | 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 | 0.1.3 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-20 | 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 | 2026-04-20 | 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
-
Aegis — AI Agent Governance
— last commit 2026-05-05, shares agent-security, ai-safety, ai-security
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
-
MCP Safety Warden
— last commit 2026-08-08, shares agent-security, ai-safety, ai-security
MCP proxy adding security scanning, behavioral profiling, risk gating, and safe tool call execution.
-
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.
-
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.
-
Actenon Kernel
— last commit 2026-07-26, shares agent-security, ai-safety, llm-security
Verify consequential AI actions before they execute.
-
dev.safeprompt/mcp
— last commit 2026-08-03, shares ai-security, llm-security, prompt-injection
Detect prompt injection, jailbreaks, and code injection in untrusted text before it reaches an LLM.
-
io.github.caglarbozkurt/heimdall
— last commit 2026-07-06, shares agent-security, prompt-injection
Scan an MCP server or agent config for injection, exfiltration, and risky capabilities.
-
io.github.denial-web/agent-immune
— last commit 2026-07-24, shares ai-security, llm-security, prompt-injection
AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
-
io.github.Gowthaman90/mcp-bastion
— last commit 2026-08-03, shares ai-security, llm-security, prompt-injection
Reliability + security proxy for MCP: runtime tool-security and a compliance-mapped audit trail.
-
MCPower Security Proxy
— last commit 2025-12-22, shares agent-security, ai-security
Security proxy that wraps MCP servers with real-time monitoring and policy enforcement
These share tags the maintainers applied themselves, such as agent-security, ai-safety, ai-security, llm-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-agents, ai-safety, ai-security, llm-firewall, llm-guardrails, llm-security, prompt-injection, python, sdk.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json