store_memory
Store a memory with a key-value pair
This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/store-memory.md
What store_memory does on Claude MCP Server Ecosystem
AI agents use store_memory 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.
Why store_memory is rated Medium
This tool writes data to a persistent memory system (likely backed by PostgreSQL, Redis, or Qdrant based on server description). It creates or updates key-value entries, which is a reversible write operation. Misuse could lead to storing sensitive or malicious data in shared memory, but it does not execute code or irreversibly destroy data.
From the tool's definition 'Store a memory with a key-value pair' — creates or modifies persistent data in the memory store
Attacks that exploit this kind of access
The rule that runs store_memory 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_memory, this is the rule to start with:
store_memory 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every store_memory call is checked against it from then on.
Questions about store_memory
Store a memory with a key-value pair. 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.
Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for store_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 Claude MCP Server Ecosystem. Nothing to install.
store_memory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the store_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 store_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.
store_memory 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.
More on Claude MCP Server Ecosystem, and thousands of servers like it.
This server
Across the catalogue