AI agents invoke build_code_graph to trigger actions in Qualixar/superlocalmemory. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The description is empty, lowering confidence. Based on the name and sibling tools like 'build_graph' and 'code_entity_history', this tool likely parses code and constructs a graph representation in memory. This is an Execute-level operation as it triggers a potentially expensive construction process with side effects on the stored memory graph.
From the tool's definition Tool name 'build_code_graph' and server context (code entity history, code memory search) suggest building/constructing a graph structure from code
Documented attack patterns abuse exactly the kind of access build_code_graph gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qualixar/superlocalmemory, and nothing reaches the server without passing your rules. This is the rule we recommend for build_code_graph:
{
"version": "1",
"default": "deny",
"tools": {
"build_code_graph": {
"limits": [
{
"counter": "build_code_graph_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} build_code_graph stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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build_code_graph. It is categorised as a Execute tool in the Qualixar/superlocalmemory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for build_code_graph: 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 Qualixar/superlocalmemory. Nothing to install.
build_code_graph is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the build_code_graph 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 build_code_graph. 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.
build_code_graph is provided by the Qualixar/superlocalmemory MCP server (qualixar/superlocalmemory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 59 Qualixar/superlocalmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
59 Qualixar/superlocalmemory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.