Find functions that are semantically similar to a given symbol — likely duplicate or near-duplicate implementations. Uses stored embeddings; no API cost.
AI agents call find_duplicates to retrieve information from GraphHub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs semantic search and analysis on a knowledge graph to identify duplicate code patterns. It reads and queries existing data (stored embeddings and function metadata) without side effects. The operation is purely informational, returning results to support code analysis. No destructive, write, execute, or financial operations are involved.
From the tool's definition Tool description states it finds functions that are 'semantically similar' and 'uses stored embeddings' to perform analysis. The verb 'find' and the mechanism of querying stored data without modification indicate a retrieval operation.
Documented attack patterns abuse exactly the kind of access find_duplicates gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GraphHub, and nothing reaches the server without passing your rules. This is the rule we recommend for find_duplicates:
{
"version": "1",
"default": "deny",
"tools": {
"find_duplicates": {}
}
}find_duplicates is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Find functions that are semantically similar to a given symbol — likely duplicate or near-duplicate implementations. Uses stored embeddings; no API cost. It is categorised as a Read tool in the GraphHub MCP Server, which means it retrieves data without modifying state.
Register the GraphHub MCP server in PolicyLayer and add a rule for find_duplicates: 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 GraphHub. Nothing to install.
find_duplicates 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 find_duplicates 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 find_duplicates. 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.
find_duplicates is provided by the GraphHub MCP server (slnquangtran/graph-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GraphHub, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
32 GraphHub tools catalogued and risk-classified — across an index of 43,000+ MCP servers.