security MCP Server
Persistent memory for AI agents — save and search knowledge across sessions via MCP. Local-first, markdown + SQLite + embeddings.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Fetch a URL, extract readable content, save as a vault entry
Default
Install Node.js 22+
Description
Save or update entries (insights, decisions, patterns...)
Scan a local project directory — extracts metadata and creates a bucket
Reset in-memory session scope without deleting entries
`~/.context-mcp/vault.db`
Remove an entry by ID
Auto-assemble a context brief on session start — recent entries, decisions, blockers
List all registered buckets (named scopes for grouping entries)
Description
Search vault — hybrid full-text + semantic vector search
Compile vault entries on a topic into a single structured brief
Browse entries with filters (kind, tags, date range)
Vault health — config, file counts, database size, issues
真实性验证技能。分析用户提供的信息、消息、图片或内容，判断其真实性和可信度，识别虚假信息、AI生成内容或伪造内容。
Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators
Pod Security Standards (PSS) define three levels of security policies -- Privileged, Baseline, and Restricted -- enforced by the Pod Security Admission (PSA) controller built into Kubernetes 1.25+. PS
Implements eBPF-based security monitoring using Cilium Tetragon for real-time process execution tracking, network connection observability, file access auditing, and runtime enforcement. Covers TracingPolicy CRD authoring with kprobe/tracepoint hooks, in-kernel filtering via matchArgs/matchBinaries selectors, JSON event export, and integration with SIEM pipelines. Use when building kernel-level runtime security observability for Linux hosts or Kubernetes clusters.
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.
AI agent security scanner. Detect vulnerabilities in agent configurations, MCP servers, and tool permissions. Available as CLI, GitHub Action, ECC plugin, and GitHub App integration. 🛡️
A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev)
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