semantic_search

Search for entities using semantic similarity. Requires embedding provider to be configured via MEMORY_EMBEDDING_PROVIDER.

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/danielsimonjr-memory-mcp/semantic-search.md

WHAT IT DOES

What semantic_search does on Enhanced Knowledge Graph Memory Server

AI agents call semantic_search to retrieve information from Enhanced Knowledge Graph Memory Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why semantic_search is rated Low

semantic_search performs a query operation against stored entities to find matches based on semantic similarity. This is fundamentally a read operation—it retrieves information without creating, modifying, deleting, or executing any external actions. Even though it requires an embedding provider configuration, the tool itself only searches and returns results.

From the tool's definition Tool name 'semantic_search' and description 'Search for entities using semantic similarity' indicates a retrieval operation with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs semantic_search safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For semantic_search, this is the rule to start with:

semantic_search Allowed

semantic_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "semantic_search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every semantic_search call is checked against it from then on.

FAQ

Questions about semantic_search

What does the semantic_search tool do? +

Search for entities using semantic similarity. Requires embedding provider to be configured via MEMORY_EMBEDDING_PROVIDER. It is categorised as a Read tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on semantic_search? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for semantic_search: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.

What risk level is semantic_search? +

semantic_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit semantic_search? +

Yes. Add a rate_limit block to the semantic_search 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 semantic_search completely? +

Set action: deny in the PolicyLayer policy for semantic_search. 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 semantic_search? +

semantic_search is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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