High-Risk MCP Tools
High-risk MCP tools trigger processes with real-world side effects. A single call can start expensive compute jobs, send mass notifications, or kick off multi-step workflows. Rate limits and argument validation are essential; approval for expensive paths is recommended.
Attacks targeting high-risk tools
Named attack patterns where tools at this severity have produced real incidents. Each links to the full case and the defensive policy.
Servers with high-risk tools
Showing 50 of 14965 servers. Each server link opens its capability-level browse; each tool opens its profile with the recommended policy.
- Playwright MCP 351 high-risk tools
- Pentester-MCP 332 high-risk tools
- Ainumbers Mcp Apps 274 high-risk tools
- Mcp 229 high-risk tools
- Yaver 213 high-risk tools
- Playwright MCP Server 176 high-risk tools
- UnClick 163 high-risk tools
- Kali Security MCP 129 high-risk tools
- Ruflo 128 high-risk tools
- Claude Flow 127 high-risk tools
- Chrome Devtools 122 high-risk tools
- Cobalt Strike MCP Server 117 high-risk tools
- Kali 110 high-risk tools
- Nodebench 110 high-risk tools
- Intellirecon Console 108 high-risk tools
- Pengstrike 107 high-risk tools
- Pypi:wavexis 107 high-risk tools
- Hexstrike Ai 106 high-risk tools
- Godot 100 high-risk tools
- MCP Framework Personal 100 high-risk tools
- Browser 98 high-risk tools
- Android 97 high-risk tools
- Mcp Windows 97 high-risk tools
- Delx Mcp A2a 96 high-risk tools
- Delx Protocol — Agent Recovery & Continuity 95 high-risk tools
- Kali Linux MCP Server 94 high-risk tools
- Zebbern Kali MCP 88 high-risk tools
- MiOffice — AI-Powered Workspace Studio 86 high-risk tools
- Chrome DevTools MCP 84 high-risk tools
- Appaloft 84 high-risk tools
- Playwright 84 high-risk tools
- Claude Mobile 83 high-risk tools
- Mcp Server 81 high-risk tools
- Mcp Control Plane 81 high-risk tools
- Propresenter 79 high-risk tools
- TradingView MCP Bridge 78 high-risk tools
- PostgreSQL MCP Server 74 high-risk tools
- CoWork OS 74 high-risk tools
- Kiln 74 high-risk tools
- Deepadb 72 high-risk tools
- Databricks MCP Server 71 high-risk tools
- Kali MCP Server 71 high-risk tools
- SSH MCP Server 71 high-risk tools
- Pypi:mcp Sympy 71 high-risk tools
- Blender Copilot MCP Server 70 high-risk tools
- Termux Browser Pilot 70 high-risk tools
- XcodeBazelMCP 70 high-risk tools
- BlenderMCP 68 high-risk tools
- Visionmcp 68 high-risk tools
- SmartTools 67 high-risk tools
See all tools in execute.
Other risk levels
Frequently asked questions
What makes a tool high risk?
High-risk MCP tools are Execute-class: they trigger processes or run actions with side effects that reach beyond the immediate call. A build starts running, a notification fan-out begins, a workflow executes multiple downstream steps. The tool returns before the side effects finish, which makes runaway loops particularly dangerous.
What policy pattern do I need for Execute tools?
Rate-limit at two layers: per-tool call count and per-session session duration. Add argument validation so malformed inputs fail at the proxy, not inside the server. For expensive paths (CI runs, mass sends), require human approval.
How does this differ from critical-risk tools?
Critical tools are irreversible after one call. High tools are reversible or reversible-with-effort but can be expensive. The exposure is multiplicative: one runaway agent triggering 1,000 notifications each hour is more dangerous than one destructive call you can recover from.
What attacks target Execute tools?
Runaway tool loops dominate the high-risk category — self-sustaining loops burn through API quotas and third-party billing. Destructive action autonomy spills over when Execute tools chain into Destructive ones. Prompt injection via tool results compounds the problem.
What is the recommended rate limit?
Default to per-agent rate limits of 10/minute for destructive-adjacent Execute operations, 60/minute for benign ones. Session-wide call-count budgets prevent multi-hour loops. For coordinating multi-agent systems, add round-trip limits to break infinite ping-pong patterns.