bundle-install

Installs Gemfile dependencies using

SERVERGithub SOURCE@paretools/github
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-dave-london-github/bundle-install.md

What bundle-install does on Github

AI agents invoke bundle-install to trigger actions in Github. 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.

Why bundle-install is rated High

This tool executes the `bundle install` command which installs Ruby gem dependencies from a Gemfile. This is an Execute-category action as it runs an external package manager process that resolves and installs software packages. Misuse could lead to installation of malicious packages or unwanted software, giving it medium severity. Confidence is slightly reduced because the description is truncated.

From the tool's definition 'bundle-install' and 'Installs Gemfile dependencies using' — runs a package installation command (bundler) to install dependencies

Questions about bundle-install

What does the bundle-install tool do? +

Installs Gemfile dependencies using. It is categorised as a Execute tool in the Github MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on bundle-install? +

Register the Github 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 Github. Nothing to install.

What risk level is bundle-install? +

bundle-install is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit bundle-install? +

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.

How do I block bundle-install completely? +

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.

What MCP server provides bundle-install? +

bundle-install is provided by the Github MCP server (@paretools/github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Github, and thousands of servers like it.

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