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inkog-io/inkog-mcp

inkog-io/inkog-mcp

Audits agents and MCP servers for prompt injection, infinite
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add inkog-mcp -- npx -y inkog-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
3 ★ · inkog-io/inkog-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 3 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 inkog-io/inkog-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Inkog MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Security companion for AI agent development in Claude, Cursor, and Claude Code.**
Ask your AI pair-programmer to build an agent. Inkog checks it as you code — scanning for vulnerabilities, explaining findings in plain English, verifying AGENTS.md governance, and auditing agent-to-agent delegation. All inside the same conversation, no context switch.
Available in Claude Desktop, Cursor, Claude Code, ChatGPT, and any MCP-compatible client.
The Dev-Flow Loop
Inkog is designed to live inside the conversation where you build the agent — not as a post-hoc gate:
1. **Ask Claude to build a piece of agent logic.**
2. **Ask Claude to scan it with Inkog** — "Scan this with Inkog and show me any CRITICAL or HIGH findings."
3. **Ask Claude to explain each finding in plain English** — "Explain the top finding. What's the risk, and how do I fix it?"
4. **Ask Claude to apply the fixes.** Review the diff, approve, re-scan.
5. **Before shipping, verify governance** — "Verify my AGENTS.md against the code" and "Audit the agent-to-agent delegation".
Read the full walkthrough: Building Secure AI Agents with Claude Code and the Inkog MCP.
Recommended prompts
- *"Scan the current directory with Inkog and show me any CRITICAL or HIGH findings."*
- *"Explain the top finding in plain English. What's the risk, and how do I fix it?"*
- *"Verify my AGENTS.md against the code."*
- *"Audit the agent-to-agent delegation in this crew."*
- *"Run a compliance report and map the findings to EU AI Act Articles 12, 14, and 15."*
- *"Audit the MCP servers I'm integrating with."*
When to Use Inkog
- **Building an AI agent** — Scan during development to catch infinite loops, prompt injection, and missing guardrails before they ship
- **Adding security to CI/CD** — Add inkog-io/inkog@v1 to GitHub Actions for automated security gates on every PR
- **Preparing for EU AI Act** — Generate compliance reports mapping your agent to Article 14, NIST AI RMF, OWASP LLM Top 10
- **Reviewing agent code** — Use from Claude Code, Cursor, or any MCP client to get security analysis while you code
- **Auditing MCP servers** — Check any MCP server for tool poisoning, privilege escalation, or data exfiltration before installing
- **Verifying AGENTS.md** — Validate that governance declarations match actual code behavior
- **Building multi-agent systems** — Detect delegation loops, privilege escalation, and unauthorized handoffs between agents
What Inkog Does
- **Logic Flaw Detection**: Find infinite loops, recursion risks, and missing exit conditions
- **Security Analysis**: Detect prompt injection paths, unconstrained tools, and data leakage risks
- **AGENTS.md Governance**: Validate that code behavior matches governance declarations
- **Compliance Reporting**: Generate reports for EU AI Act, NIST AI RMF, OWASP LLM Top 10
- **MCP Server Auditing**: Audit any MCP server before installation
- **Multi-Agent Analysis**: Audit Agent-to-Agent communications for logic and security issues
Installation
Claude Desktop
Add to your claude_desktop_config.json:
Cursor
Add to your Cursor MCP settings:
Global Installation
Getting Your API Key
1. Sign up for free at app.inkog.io
2. Copy your API key from the dashboard
3. Set it as INKOG_API_KEY environment variable
Available Tools
P0 - Core Analysis (Essential)
| Tool | Description |
|------|-------------|
来源
awesome · https://github.com/inkog-io/inkog-mcp
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