🕸️📦 GRAPH-BASED REPOSITORY CONTEXT - Get intelligent context using graph-based retrieval with code relationships, symbol dependencies, and semantic understanding. Supports single or multiple repositories for comprehensive cross-project context.
AI agents call ambiance_get_graph_context to retrieve information from Ambiance MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs semantic analysis and retrieval of code graph relationships and symbol dependencies from repositories. It reads and analyzes existing code structures without modifying, executing, or destroying any data. The blast radius of misuse is minimal — worst case, an agent could retrieve inappropriate context, but no code execution, data modification, or irreversible actions are possible.
From the tool's definition Tool description states 'Get intelligent context using graph-based retrieval' — the verb is 'Get', indicating data retrieval. No modification, deletion, execution, or financial operations are described.
Attacks that exploit this kind of access
🕸️📦 GRAPH-BASED REPOSITORY CONTEXT - Get intelligent context using graph-based retrieval with code relationships, symbol dependencies, and semantic understanding. Supports single or multiple repositories for comprehensive cross-project context. It is categorised as a Read tool in the Ambiance MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Ambiance MCP Server MCP server in PolicyLayer and add a rule for ambiance_get_graph_context: 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 Ambiance MCP Server. Nothing to install.
ambiance_get_graph_context 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 ambiance_get_graph_context 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 ambiance_get_graph_context. 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.
ambiance_get_graph_context is provided by the Ambiance MCP Server MCP server (sbarron/ambiancemcp). 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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