37 tools. 25 can modify or destroy data without limits.
3 destructive tools with no built-in limits. Policy required.
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Destructive tools (network_intercept, profile_delete, session_destroy) permanently delete resources. There is no undo. An agent calling these in a retry loop causes irreversible damage.
Write operations (act, add_init_script, api_export) modify state. Without rate limits, an agent can make hundreds of changes in seconds — faster than any human can review or revert.
Execute tools (batch_actions, execute, navigate) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.
Intercept sits between your agent and Leapfrog. Every tool call checked against your policy before it executes — so your agent can do its job without breaking things.
npx -y @policylayer/intercept scan -- npx -y @leapfrog-mcp network_intercept:
rules:
- action: deny Destructive tools should never be available to autonomous agents without human approval.
act:
rules:
- rate_limit: 30/hour Prevents bulk unintended modifications from agents caught in loops.
api_discover:
rules:
- rate_limit: 60/minute Controls API costs and prevents retry loops from exhausting upstream rate limits.
Yes. The Leapfrog server exposes 3 destructive tools including network_intercept, profile_delete, session_destroy. These permanently remove resources with no undo. Intercept blocks destructive tools by default so they never reach the upstream server.
The Leapfrog server has 17 write tools including act, add_init_script, api_export. Set rate limits in your policy file -- for example, rate_limit: 10/hour prevents an agent from making more than 10 modifications per hour. Intercept enforces this at the transport layer.
37 tools across 4 categories: Destructive, Execute, Read, Write. 12 are read-only. 25 can modify, create, or delete data.
One line change. Instead of running the Leapfrog server directly, prefix it with Intercept: intercept -c io-github-anthonybono21-cloud-leapfrog.yaml -- npx -y @leapfrog-mcp. Download a pre-built policy from policylayer.com/policies/io-github-anthonybono21-cloud-leapfrog and adjust the limits to match your use case.
Starter policies available for each. Same risk classification, same one-command setup.
Set budgets, approvals, and hard limits across MCP servers.
npx -y @policylayer/intercept init