Search for semantically similar information in memory. Returns the most relevant results based on vector similarity.
AI agents call search_memory to retrieve information from MCP Qdrant Semantic Search without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a semantic search query against stored vectors and returns matching results. It does not create, modify, delete, or execute code—it only retrieves and queries existing data. This is a classic Read operation with minimal blast radius if misused; incorrect searches may waste compute resources but cannot corrupt data or trigger external operations.
From the tool's definition Tool name 'search_memory' and description 'Search for semantically similar information in memory. Returns the most relevant results based on vector similarity.' indicate a retrieval operation with no side effects or modifications.
Documented attack patterns abuse exactly the kind of access search_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Qdrant Semantic Search, and nothing reaches the server without passing your rules. This is the rule we recommend for search_memory:
{
"version": "1",
"default": "deny",
"tools": {
"search_memory": {}
}
}search_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for semantically similar information in memory. Returns the most relevant results based on vector similarity. It is categorised as a Read tool in the MCP Qdrant Semantic Search MCP Server, which means it retrieves data without modifying state.
Register the MCP Qdrant Semantic Search MCP server in PolicyLayer and add a rule for search_memory: 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 Qdrant Semantic Search. Nothing to install.
search_memory 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_memory 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_memory. 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_memory is provided by the MCP Qdrant Semantic Search MCP server (muhammedehab35/mcp-qdrant-semantic-search). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Qdrant Semantic Search, 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.
7 MCP Qdrant Semantic Search tools catalogued and risk-classified — across an index of 43,000+ MCP servers.