Installs Gemfile dependencies using
AI agents invoke bundle-install to trigger actions in Http. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Running `bundle install` executes package installation logic, downloads gems from external sources, and may run native extension build scripts. This constitutes external execution with side effects beyond simple data writes, though it is reversible in principle. Severity is medium because a malicious or compromised Gemfile could introduce malicious code via install hooks.
From the tool's definition 'Installs Gemfile dependencies using' — installs software packages/dependencies, triggering external operations (network downloads, file system modifications, script execution via gem install hooks)
Documented attack patterns abuse exactly the kind of access bundle-install gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Http, and nothing reaches the server without passing your rules. This is the rule we recommend for bundle-install:
{
"version": "1",
"default": "deny",
"tools": {
"bundle-install": {
"limits": [
{
"counter": "bundle-install_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} bundle-install stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Installs Gemfile dependencies using. It is categorised as a Execute tool in the Http MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Http MCP server in PolicyLayer and add a rule for bundle-install: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Http. Nothing to install.
bundle-install is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the bundle-install rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for bundle-install. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
bundle-install is provided by the Http MCP server (@paretools/http). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Http, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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202 Http tools catalogued and risk-classified — across an index of 43,000+ MCP servers.