build-knowledge-graph
A execute tool on the CodeAnalysis MCP server.
This record as markdown: /tools/0xjcf-mcp-codeanalysis/build-knowledge-graph.md
What build-knowledge-graph does on CodeAnalysis MCP Server
AI agents invoke build-knowledge-graph to trigger actions in CodeAnalysis MCP Server. 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.
Why build-knowledge-graph is rated High
Knowledge graph construction from code requires parsing, traversing, and computing relationships—operations that execute code analysis logic. While not destructive or financial, this involves executing algorithms that traverse and transform code data.
From the tool's definition Tool name 'build-knowledge-graph' suggests constructing a graph structure; server context indicates 'code analysis' and 'dependency visualization' operations. The tool likely processes code to generate analytical output.
Attacks that exploit this kind of access
The rule that runs build-knowledge-graph safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CodeAnalysis MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For build-knowledge-graph, this is the rule to start with:
build-knowledge-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.
The button opens the PolicyLayer dashboard: create your workspace, connect CodeAnalysis MCP Server, apply this rule, and every build-knowledge-graph call is checked against it from then on.
Questions about build-knowledge-graph
build-knowledge-graph is a execute tool on the CodeAnalysis MCP Server MCP server. It is categorised as a Execute tool in the CodeAnalysis MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CodeAnalysis MCP Server MCP server in PolicyLayer and add a rule for build-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.
build-knowledge-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-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 build-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.
build-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.
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