Search through both development memory AND indexed codebase files using hybrid semantic+keyword algorithm. WHEN TO USE: - Finding how similar bugs were fixed - Searching for code examples or patterns - Discovering related work in project history - Learning from past solutions - Querying project f...
AI agents call semantic_search to retrieve information from DevMind MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
semantic_search is a read-only information retrieval tool that queries indexed memory and codebase without modifying, executing, or deleting anything. The description explicitly prohibits using it to record new contexts. It retrieves and searches data with no side effects, matching the Read category definition.
From the tool's definition Tool description explicitly states 'This is a READ-ONLY operation for finding information' and 'Search through both development memory AND indexed codebase files'.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access semantic_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DevMind MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for semantic_search:
{
"version": "1",
"default": "deny",
"tools": {
"semantic_search": {}
}
}semantic_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Search through both development memory AND indexed codebase files using hybrid semantic+keyword algorithm. WHEN TO USE: - Finding how similar bugs were fixed - Searching for code examples or patterns - Discovering related work in project history - Learning from past solutions - Querying project files for implementation details - Finding code patterns across the entire codebase IMPORTANT: This is a READ-ONLY operation for finding information. Do NOT use this to record new contexts - use semantic_search to FIND answers, then respond directly to users. KEY PARAMETERS: - query: What you. It is categorised as a Read tool in the DevMind MCP MCP Server, which means it retrieves data without modifying state.
Register the DevMind MCP server in PolicyLayer and add a rule for semantic_search: 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 DevMind MCP. Nothing to install.
semantic_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the semantic_search 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 semantic_search. 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.
semantic_search is provided by the DevMind MCP server (jochenyang/devmind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DevMind MCP, 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.
13 DevMind MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.