Get trending AI/ML repositories on GitHub
AI agents call get_trending_repos to retrieve information from AI Research MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves trending repository information from GitHub, which is a read-only query operation with no side effects. It aggregates and presents existing public data without creating, modifying, deleting, or executing anything. The blast radius of misuse is minimal—worst case, an agent repeatedly queries the endpoint, causing rate-limiting but no data loss or unauthorized actions.
From the tool's definition Tool name 'get_trending_repos' and description 'Get trending AI/ML repositories on GitHub' indicate a retrieval operation that queries and returns publicly available repository data. No modification, execution, deletion, or financial operations are performed.
Attacks that exploit this kind of access
Get trending AI/ML repositories on GitHub. It is categorised as a Read tool in the AI Research MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AI Research MCP Server MCP server in PolicyLayer and add a rule for get_trending_repos: 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 AI Research MCP Server. Nothing to install.
get_trending_repos 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 get_trending_repos 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 get_trending_repos. 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.
get_trending_repos is provided by the AI Research MCP Server MCP server (nanyang12138/ai-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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