read_graph
AI agents call read_graph to retrieve information from DAI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool's name and context within a memory/query system strongly suggest this retrieves graph data without modifying it. No side effects are indicated. This falls clearly into the Read category for data retrieval operations.
From the tool's definition Tool name 'read_graph' indicates a retrieval operation on the Neo4j graph database. The server's description emphasizes 'storage and retrieval of interconnected knowledge' and 'querying of information'.
Attacks that exploit this kind of access
read_graph. It is categorised as a Read tool in the DAI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DAI MCP Server MCP server in PolicyLayer and add a rule for read_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 DAI MCP Server. Nothing to install.
read_graph 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 read_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 read_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.
read_graph is provided by the DAI MCP Server MCP server (patgpt/dai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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