Individual skill
auditing-mcp-servers-for-tool-poisoning
Audit MCP servers for tool poisoning, tool shadowing, rug pulls, SSRF, and unauthenticated exposure using Invariant Labs' mcp-scan for static/runtime scanning plus manual SSRF/auth checks and description pinning. Use before adding a new MCP server to an agent stack, when reviewing an internal MCP server, detecting rug pulls, or investigating an agent's unexpected tool-driven behavior.
skills/auditing-mcp-servers-for-tool-poisoning/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- ai-security Declared skill tag
- mcp Declared skill tag
- tool-poisoning Declared skill tag
- agent-security Declared skill tag
- mcp-scan Declared skill tag
- ssrf Declared skill tag
- supply-chain Declared skill tag
- rug-pull Declared skill tag
- security Derived category
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# Auditing MCP Servers for Tool Poisoning
> **Authorized-use-only notice:** Auditing MCP servers can connect to and probe live tool endpoints. Only scan servers you own or are authorized to assess. Treat scanned tool descriptions as untrusted input — do not load an unaudited MCP server into a privileged agent. Probing third-party MCP endpoints for SSRF or auth weaknesses without permission may be illegal.
## Overview
The Model Context Protocol (MCP) lets AI agents discover and call external tools advertised by MCP servers. Each tool exposes a name and a natural-language **description** that the agent's LLM reads *before* deciding to call it. In early 2025, Invariant Labs disclosed that this description field is an attack surface: a malicious server can embed hidden instructions in a tool's description (a **tool poisoning attack**, OWASP **MCP03:2025**), and a capable model will silently follow them — exfiltrating files, leaking secrets, or redirecting tool calls — while returning a normal-looking response to the user. Because tool descriptions are loaded into the agent's context, tool poisoning is effectively indirect prompt injection delivered through the supply chain (MITRE ATLAS **AML.T0010 ML Supply Chain Compromise**).
Beyond poisoning, MCP servers introduce classic infrastructure risks: **tool shadowing** (a malicious server overrides a trusted tool's behavior), **rug pulls** (a tool's description changes after the user approved it), **toxic flows** (a combination of tools that enables data exfiltration), **SSRF** in tools that fetch URLs server-side, and **unauthenticated exposure** of MCP servers bound to network interfaces. This skill audits MCP servers end-to-end using Invariant Labs' **mcp-scan** for static and runtime analysis, plus manual checks for SSRF and authentication, and tool pinning to catch rug pulls.
## When to Use
- Before adding a new MCP server to an agent stack (Claude Desktop, Cursor, VS Code, Windsurf, custom agents).
- During a security review of an internally developed MCP server.
- When validating that approved tools have not silently changed (rug-pull detection).