mcp server
io.github.denial-web/agent-immune
AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
Description as published by the maintainer. Source
- version 0.2.2
- active
- memory and context
- security
active — Most recent push to the repository was 2026-07-24. 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 | 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 | 2026-07-24 | 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 | 1 | 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 | 0.2.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-07 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | Apache-2.0 | 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 | 2026-04-07 | 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.daedalus/mcp-external-memory
— last commit 2026-04-21, shares semantic-memory
An MCP server that gives LLMs persistent, searchable semantic memory
-
ai.marchward/mcp-server
— last commit 2026-07-01, shares agent-governance, langchain
Runtime authority for AI agents: credential mediation, spend cap, approval gates, audit log.
-
PromptSpeak Governance
— last commit 2026-07-05, shares agent-governance
Pre-execution governance for AI agents. Validates tool calls before they execute.
-
Aegis — AI Agent Governance
— last commit 2026-05-05, shares ai-security, langchain, llm-security
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
-
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.
-
Bawbel Scanner
— last commit 2026-07-05, shares ai-security, llm-security, prompt-injection
Security scanner for MCP servers and skill files. Detects AVE vulnerabilities before production.
-
Bawbel Scanner
— last commit 2026-07-05, shares ai-security, llm-security, prompt-injection
Security scanner for MCP servers and skill files. Detects AVE vulnerabilities before production.
-
io.github.dl-eigenart/agentshield-mcp
— last commit 2026-05-11, shares ai-security, llm-security, prompt-injection
Detect prompt injection, jailbreak, and social-engineering attacks in LLM agents.
-
Actenon Kernel
— last commit 2026-07-26, shares langchain, llm-security
Verify consequential AI actions before they execute.
-
ai.kernora/agent-sec
— last commit 2026-07-31, shares ai-security, llm-security
Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.
These share tags the maintainers applied themselves, such as semantic-memory, agent-governance, langchain, ai-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-governance, ai-agent, ai-security, langchain, llm-security, mcp, mcp-server, prompt-injection, semantic-memory, tool-security.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab