Save AI-generated SVG graphics or Markdown documents to the knowledge graph. This tool must be used in conjunction with get_creation_guidelines and list_graphs tools. Use cases: 1. Save SVG visualization representation of the graph 2. Save Markdown documents related to nodes 3. Batch save multipl...
Accepts raw HTML/template content (content)
Part of the Knowledge Graph Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use save_resource to create or modify resources in Knowledge Graph Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call save_resource repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Knowledge Graph Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
save_resource:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Knowledge Graph Server policy for all 15 tools.
Agents calling write-class tools like save_resource have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Save AI-generated SVG graphics or Markdown documents to the knowledge graph. This tool must be used in conjunction with get_creation_guidelines and list_graphs tools. Use cases: 1. Save SVG visualization representation of the graph 2. Save Markdown documents related to nodes 3. Batch save multiple resource files Usage recommendations: 1. First call get_creation_guidelines to get resource creation standards 2. Use list_graphs to get target graph ID and node ID (if needed) 3. Create resource content according to standards 4. Use this tool to save the resource 5. After saving, use get_node_details to check resource association status Return data: - data: Saved resource information * id: Resource ID * type: Resource type (svg/markdown) * title: Resource title * description: Resource description * nodeId: Associated node ID (if any) * createdAt: Creation time. It is categorised as a Write tool in the Knowledge Graph Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for save_resource. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Knowledge Graph Server MCP server.
save_resource 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 save_resource rule in your Intercept 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 Intercept policy for save_resource. 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.
save_resource is provided by the Knowledge Graph Server MCP server (aiuluna/knowledge-graph-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept