Medium Risk

index-vectors

Index project files for semantic search using vector embeddings

How to control index-vectors ↓

AI agents use index-vectors to create or update resources in Ultra MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ultra MCP environment.

Medium Risk

This tool creates/writes vector embeddings from project files into an index store. It modifies state by building and storing a vector index, but does not delete data or execute arbitrary code. It is reversible in that the index can be rebuilt or cleared (a sibling tool 'clear-vectors' suggests deletion is separate).

From the tool's definition Index project files for semantic search using vector embeddings

Documented attack patterns abuse exactly the kind of access index-vectors gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Ultra MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for index-vectors:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "index-vectors": {
      "limits": [
        {
          "counter": "index-vectors_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

index-vectors stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Ultra MCP — 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.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the index-vectors tool do? +

Index project files for semantic search using vector embeddings. It is categorised as a Write tool in the Ultra MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on index-vectors? +

Register the Ultra MCP server in PolicyLayer and add a rule for index-vectors: 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 Ultra MCP. Nothing to install.

What risk level is index-vectors? +

index-vectors is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit index-vectors? +

Yes. Add a rate_limit block to the index-vectors 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 index-vectors completely? +

Set action: deny in the PolicyLayer policy for index-vectors. 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 index-vectors? +

index-vectors is provided by the Ultra MCP server (realmikechong/ultra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ultra MCP tool call.

Deterministic rules across all 30 Ultra MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

30 Ultra MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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