store_knowledge

Store knowledge with embeddings for enhanced inference

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/store-knowledge.md

WHAT IT DOES

What store_knowledge does on Claude MCP Server Ecosystem

AI agents use store_knowledge to create or update resources in Claude MCP Server Ecosystem, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude MCP Server Ecosystem environment.

RISK

Why store_knowledge is rated Medium

This tool writes new knowledge entries along with their vector embeddings into a persistent store (likely Qdrant based on server description). It is a Write operation as it creates new data reversibly.

From the tool's definition 'Store knowledge with embeddings for enhanced inference' — creates/persists new data (knowledge + vector embeddings) in the system

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs store_knowledge safely

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

store_knowledge Rate-limited

store_knowledge 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "store_knowledge": {
      "limits": [
        {
          "counter": "store_knowledge_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every store_knowledge call is checked against it from then on.

FAQ

Questions about store_knowledge

What does the store_knowledge tool do? +

Store knowledge with embeddings for enhanced inference. It is categorised as a Write tool in the Claude MCP Server Ecosystem MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on store_knowledge? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for store_knowledge: 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 Claude MCP Server Ecosystem. Nothing to install.

What risk level is store_knowledge? +

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

Can I rate-limit store_knowledge? +

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

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

store_knowledge is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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