Find symbols that are semantically similar to a given symbol. Useful for finding related code.
AI agents call find_similar 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 retrieves information from an existing knowledge graph without side effects. It searches for semantic similarity, comparable to a database query or search index lookup. There is no data modification, code execution, or irreversible action. The blast radius of misuse is minimal — at worst, an agent retrieves incorrect or sensitive code relationships, but cannot change or delete anything.
From the tool's definition Tool performs 'Find symbols that are semantically similar' — a search/query operation across the knowledge graph. No modification, deletion, or code execution occurs.
Documented attack patterns abuse exactly the kind of access find_similar 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_similar:
{
"version": "1",
"default": "deny",
"tools": {
"find_similar": {}
}
}find_similar is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Find symbols that are semantically similar to a given symbol. Useful for finding related code. 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_similar: 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_similar 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_similar 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_similar. 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_similar 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.
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32 GraphHub tools catalogued and risk-classified — across an index of 43,000+ MCP servers.