security MCP Server
Shared foundation for building MCP servers -- Streamable HTTP transport, OAuth 2.1, browser-based credential setup, and a shared embedding daemon.
Discovered via github-topic:model-context-protocol and last synced 1w ago.
1. Install the package
pip install n24q02m-mcp-core
Language
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Registry
</details> <!-- END: AUTO-GENERATED-CROSS-PROMO --> ## Table of contents - [Packages](#packages) - [What you get](#what-you-get) - [Quick start (Python)](#quick-start-python) - [Quick start (TypeScript)](#quick-start-typescript) - [CLI](#cli) - [Documentation](#documentation) - [Design Philosophy](#design-philosophy) - [Development](#development) - [License](#license) mcp-core is the shared foundation for the n24q02m MCP servers: a Streamable HTTP transport, an OAuth 2.1 Authorization Server, lifecycle management, install automation, and a shared embedding daemon. `mcp-core` is the **functional successor** to the archived [`mcp-relay-core`](https://github.com/n24q02m/mcp-relay-core). All crypto, storage, OAuth, relay, and schema modules from `mcp-relay-core` ship under the same paths in `mcp-core` (1:1 superset), so downstream MCP servers can migrate with a pure import + dependency rename. See the [Migration guide](https://mcp.n24q02m.com/servers/mcp-core/migration/) for the rename table. ## Packages
Purpose
Environment diagnostics — Python 3.13, credential-backend init, store-dir writability, config state, relay session, transport mode. Exits non-zero on any `[fail]`.
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)
Learn how to use the absolute-audit Claude skill. Complete guide with installation instructions and examples.
Learn how to use the token-scam-analysis Claude skill. Complete guide with installation instructions and examples.
Learn how to use the absolute-upgrade Claude skill. Complete guide with installation instructions and examples.