Store a relationship between two entities in the knowledge graph. Entities are referenced by text+type and auto-created if they don\
AI agents use store_relationship to create or update resources in CodeGraph — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CodeGraph environment.
This tool creates or modifies data in the knowledge graph by storing relationships and potentially auto-creating entities. This is a reversible write operation with medium severity since it modifies knowledge graph state but does not execute code or delete data irreversibly.
From the tool's definition 'Store a relationship between two entities in the knowledge graph. Entities are referenced by text+type and auto-created if they don\'t exist'
Documented attack patterns abuse exactly the kind of access store_relationship gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeGraph, and nothing reaches the server without passing your rules. This is the rule we recommend for store_relationship:
{
"version": "1",
"default": "deny",
"tools": {
"store_relationship": {
"limits": [
{
"counter": "store_relationship_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} store_relationship 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.
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Store a relationship between two entities in the knowledge graph. Entities are referenced by text+type and auto-created if they don\. It is categorised as a Write tool in the CodeGraph MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CodeGraph MCP server in PolicyLayer and add a rule for store_relationship: 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 CodeGraph. Nothing to install.
store_relationship 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_relationship 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_relationship. 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_relationship is provided by the CodeGraph MCP server (phoenixrr2113/codebase-graph). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeGraph, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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18 CodeGraph tools catalogued and risk-classified — across an index of 43,000+ MCP servers.