auditing-mcp-servers-for-tool-poisoning
FeaturedScan Model Context Protocol servers and tool metadata for poisoning, SSRF, and unauthenticated exposure.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- adriannoes
- Repository
- adriannoes/awesome-agentic-ai
- Created
- 11 months ago
- Last Updated
- 1 weeks ago
- Language
- Jupyter Notebook
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
mcp-tool-poisoning
Expert methodology for testing Model Context Protocol tool poisoning vulnerabilities. Covers malicious tool description injection, cross-server propagation, and detection evasion. Developed alongside ContextGuard (ICCBI 2026) MCP security research.
ai-mcp-security
Assess Model Context Protocol (MCP) servers and agent tool integrations — tool poisoning, prompt injection via tool descriptions/results, over-broad scopes, and unauth tool exposure. Load when the target uses MCP servers, agent tool/function integrations, or connectors. Signals: mcp.json, MCP server, tool schemas, connector marketplace, agent with external tools.
auditing-mcp-tool-integrations
Red-team the tool layer of an AI agent: the tool definitions, metadata, and outputs that a model reads and trusts. Covers tool poisoning (instructions hidden in a tool's description), tool shadowing and name collisions, rug-pulls (definitions that change after approval), line jumping (metadata acting before any call), token and credential passthrough, and tool-output injection. Use when adding or reviewing a tool, an MCP server, or a tool-marketplace entry, or when auditing an agent's tool manifest. The model reads every tool description as input; treat all of it as untrusted instruction surface.