search_similar
Search for similar entities and relations using semantic search
This record as markdown: /tools/delorenj-mcp-qdrant-memory/search-similar.md
What search_similar does on MCP Memory Server with Qdrant Persistence
AI agents call search_similar to retrieve information from MCP Memory Server with Qdrant Persistence without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why search_similar is rated Low
This is a retrieval operation that queries existing data in the knowledge graph without side effects. Semantic search is a read-only operation that returns results based on similarity metrics. The tool does not create, modify, delete, or execute arbitrary operations—it only searches and returns matching entities and relations.
From the tool's definition Tool name 'search_similar' and description 'Search for similar entities and relations using semantic search' indicate a query operation that retrieves data via semantic similarity matching against a Qdrant vector database.
Attacks that exploit this kind of access
The rule that runs search_similar safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Memory Server with Qdrant Persistence, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_similar, this is the rule to start with:
search_similar is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Memory Server with Qdrant Persistence, apply this rule, and every search_similar call is checked against it from then on.
Questions about search_similar
Search for similar entities and relations using semantic search. It is categorised as a Read tool in the MCP Memory Server with Qdrant Persistence MCP Server, which means it retrieves data without modifying state.
Register the MCP Memory Server with Qdrant Persistence MCP server in PolicyLayer and add a rule for search_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 MCP Memory Server with Qdrant Persistence. Nothing to install.
search_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 search_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 search_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.
search_similar is provided by the MCP Memory Server with Qdrant Persistence MCP server (delorenj/mcp-qdrant-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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