AI agents use export-knowledge-graph to create or update resources in CodeAnalysis MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CodeAnalysis MCP Server environment.
The 'export' prefix typically indicates writing/serializing data to a new format or location. Without a description, confidence is moderate. The action creates or materializes output (reversible—exported files can be deleted or re-exported), placing it in the Write category rather than Read (which would be passive querying).
From the tool's definition Tool name 'export-knowledge-graph' with 'export' indicating data output/serialization. No description provided to confirm format or destination.
Documented attack patterns abuse exactly the kind of access export-knowledge-graph gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeAnalysis MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for export-knowledge-graph:
{
"version": "1",
"default": "deny",
"tools": {
"export-knowledge-graph": {
"limits": [
{
"counter": "export-knowledge-graph_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}export-knowledge-graph 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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export-knowledge-graph. It is categorised as a Write tool in the CodeAnalysis MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CodeAnalysis MCP Server MCP server in PolicyLayer and add a rule for export-knowledge-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 CodeAnalysis MCP Server. Nothing to install.
export-knowledge-graph 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 export-knowledge-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 export-knowledge-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.
export-knowledge-graph is provided by the CodeAnalysis MCP Server MCP server (0xjcf/mcp_codeanalysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeAnalysis MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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31 CodeAnalysis MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.