Busca código en repositorios de GitHub. Permite encontrar archivos, funciones, clases, etc.
AI agents call search_code to retrieve information from Mcp Github without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and searches existing code within repositories without modifying, deleting, executing, or creating any data. It is purely informational and carries minimal risk even if misused by an agent, as the worst outcome would be unnecessary API calls or exposure of information already in public/accessible repositories.
From the tool's definition Tool name 'search_code' and description 'Busca código en repositorios de GitHub. Permite encontrar archivos, funciones, clases, etc.' (searches code in GitHub repositories, allows finding files, functions, classes, etc.) indicate a query/search operation with…
Attacks that exploit this kind of access
Busca código en repositorios de GitHub. Permite encontrar archivos, funciones, clases, etc. It is categorised as a Read tool in the Mcp Github MCP Server, which means it retrieves data without modifying state.
Register the Mcp Github MCP server in PolicyLayer and add a rule for search_code: 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 Mcp Github. Nothing to install.
search_code is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_code 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 search_code. 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.
search_code is provided by the Mcp Github MCP server (pblarismendi/mcp-github-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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