Low Risk

get_similar_notes

Find notes semantically similar to a given note using embeddings. Returns paths, similarity scores, and available blocks.

How to control get_similar_notes ↓

What get_similar_notes does on Smart Connections MCP Server

AI agents call get_similar_notes to retrieve information from Smart Connections MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_similar_notes needs a policy

get_similar_notes performs a search query against embeddings to discover and retrieve information about similar notes. It has no side effects, cannot modify or delete data, and cannot execute code or trigger external operations. This is purely a Read operation querying an Obsidian vault's knowledge graph. Low severity because the blast radius of misuse is limited to information disclosure of existing vault contents.

From the tool's definition Tool returns semantically similar notes with 'paths, similarity scores, and available blocks'—a retrieval operation with no modification or deletion of data.

Documented attack patterns abuse exactly the kind of access get_similar_notes gives an agent:

How to control get_similar_notes

PolicyLayer is an MCP gateway — it sits between your AI agents and Smart Connections MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_similar_notes:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_similar_notes": {}
  }
}

get_similar_notes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Smart Connections MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

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Related tools and policies

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Questions about get_similar_notes

What does the get_similar_notes tool do? +

Find notes semantically similar to a given note using embeddings. Returns paths, similarity scores, and available blocks. It is categorised as a Read tool in the Smart Connections MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_similar_notes? +

Register the Smart Connections MCP Server MCP server in PolicyLayer and add a rule for get_similar_notes: 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 Smart Connections MCP Server. Nothing to install.

What risk level is get_similar_notes? +

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

Can I rate-limit get_similar_notes? +

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

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

get_similar_notes is provided by the Smart Connections MCP Server MCP server (msdanyg/smart-connections-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Smart Connections MCP Server tool call.

Start from Smart Connections MCP Server, 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.

6 Smart Connections MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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