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 3512 servers. Each server link opens its capability-level browse; each tool opens its profile with the recommended policy.
- Pentester-MCP 332 high-risk tools
- Kali Security MCP 176 high-risk tools
- Docker 116 high-risk tools
- AWS Support MCP Server 114 high-risk tools
- AWS Labs AWS For SAP Management MCP Server 109 high-risk tools
- Search 108 high-risk tools
- AWS Bedrock AgentCore MCP Server 107 high-risk tools
- AWS Labs MySQL MCP Server 106 high-risk tools
- AWS Transform MCP Server 106 high-risk tools
- Amazon Redshift MCP Server 104 high-risk tools
- AWS Labs postgres MCP Server 104 high-risk tools
- AWS Serverless MCP Server 104 high-risk tools
- AWS API MCP Server 103 high-risk tools
- AWS ElastiCache MCP Server 103 high-risk tools
- Amazon Data Processing MCP Server 102 high-risk tools
- Amazon EKS MCP Server 102 high-risk tools
- Amazon ECS MCP Server 101 high-risk tools
- Build 101 high-risk tools
- Amazon SageMaker AI MCP Server 100 high-risk tools
- AWS IoT SiteWise MCP Server 100 high-risk tools
- AWS Labs CloudWatch MCP Server 100 high-risk tools
- Make 100 high-risk tools
- Awslabs Valkey 99 high-risk tools
- Test 99 high-risk tools
- Nodebench 99 high-risk tools
- AWS AppSync MCP Server 98 high-risk tools
- AWS Labs Amazon Q Business anonymous mode MCP Server 98 high-risk tools
- Cargo 98 high-risk tools
- Http 98 high-risk tools
- AWS Labs amazon-qindex MCP Server 97 high-risk tools
- Mcp Windows 97 high-risk tools
- Amazon Location Service MCP Server 96 high-risk tools
- AWS Labs Aurora DSQL MCP Server 96 high-risk tools
- Python 96 high-risk tools
- AWS Step Functions Tool MCP Server 95 high-risk tools
- Github 95 high-risk tools
- Npm 95 high-risk tools
- AWS Documentation MCP Server 94 high-risk tools
- Lint 94 high-risk tools
- AWS Cloud Control API (CCAPI) MCP Server 93 high-risk tools
- AWS Lambda Tool MCP Server 93 high-risk tools
- AWS Well-Architected Security Assessment Tool MCP Server 93 high-risk tools
- Git 93 high-risk tools
- CloudWatch Application Signals MCP Server 92 high-risk tools
- Go 92 high-risk tools
- AWS Labs Timestream for InfluxDB MCP Server 91 high-risk tools
- AWS DocumentDB MCP Server 90 high-risk tools
- AWS Labs CloudTrail MCP Server 90 high-risk tools
- Amazon ElastiCache Memcached MCP Server 88 high-risk tools
- AWS HealthOmics MCP Server 88 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.