Rebuild knowledge graph edges for all facts in the active profile.
AI agents invoke build_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 tool executes a graph reconstruction algorithm on stored facts, which is a computational action with potential side effects on data organization and retrieval behavior. While it does not create, delete, or query external data directly, it modifies the internal state of the knowledge graph through active computation.
From the tool's definition "Rebuild knowledge graph edges for all facts in the active profile" — this tool triggers a computational operation (graph rebuilding) that processes and reorganizes data structures, which is an active operation with side effects on the internal knowledge…
Documented attack patterns abuse exactly the kind of access build_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_graph:
{
"version": "1",
"default": "deny",
"tools": {
"build_graph": {
"limits": [
{
"counter": "build_graph_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}build_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.
Free to start. No card required.
Rebuild knowledge graph edges for all facts in the active profile. 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_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_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_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_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_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.