search_knowledge

Search knowledge base using semantic vector search

Server Self-Improving Memory MCP superpitt/self-improving-memory-mcp
Category Read
Risk class Low
Parameters 00 required

What search_knowledge does on Self-Improving Memory MCP

AI agents call search_knowledge to retrieve information from Self-Improving Memory MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why search_knowledge needs a policy

This tool performs a semantic search across a knowledge base, which is a read-only retrieval operation. It has no side effects, does not modify data, does not execute external code, and does not delete anything.

From the tool's definition Tool name 'search_knowledge' and description 'Search knowledge base using semantic vector search' indicate a query operation that retrieves data without modifying or deleting it.

Questions about search_knowledge

What does the search_knowledge tool do? +

Search knowledge base using semantic vector search. It is categorised as a Read tool in the Self-Improving Memory MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_knowledge? +

Register the Self-Improving Memory MCP server in PolicyLayer and add a rule for search_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 Self-Improving Memory MCP. Nothing to install.

What risk level is search_knowledge? +

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

Can I rate-limit search_knowledge? +

Yes. Add a rate_limit block to the search_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 search_knowledge completely? +

Set action: deny in the PolicyLayer policy for search_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 search_knowledge? +

search_knowledge is provided by the Self-Improving Memory MCP server (superpitt/self-improving-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.