Analyze dependencies in a codebase and generate a dependency graph
AI agents call analyze_dependencies to retrieve information from DependencyMCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool examines existing codebases to extract and visualize dependency relationships. No side effects occur; it only reads and analyzes code structure without creating, modifying, executing, or deleting anything. This is purely informational retrieval suitable for the Read category. Low severity because misuse would only yield incorrect architectural information, not system compromise or data loss.
From the tool's definition Tool performs analysis and generates a dependency graph - described as "Analyze dependencies" and "generate a dependency graph" with no mention of modifying, executing, or deleting code. This is a query/analysis operation.
Documented attack patterns abuse exactly the kind of access analyze_dependencies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DependencyMCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_dependencies:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_dependencies": {}
}
}analyze_dependencies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze dependencies in a codebase and generate a dependency graph. It is categorised as a Read tool in the DependencyMCP Server MCP Server, which means it retrieves data without modifying state.
Register the DependencyMCP Server MCP server in PolicyLayer and add a rule for analyze_dependencies: 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 DependencyMCP Server. Nothing to install.
analyze_dependencies 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 analyze_dependencies 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 analyze_dependencies. 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.
analyze_dependencies is provided by the DependencyMCP Server MCP server (mkearl/dependency-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DependencyMCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 DependencyMCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.