Low Risk

custom_dashboards

Placeholder for personalized metric dashboards.

How to control custom_dashboards ↓

What custom_dashboards does on GitHub Repos Manager MCP Server

AI agents call custom_dashboards to retrieve information from GitHub Repos Manager MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why custom_dashboards needs a policy

Dashboard tools typically aggregate and display existing data without creating, modifying, or deleting resources. This is a read-only operation that queries metrics and presents them to the user. The placeholder status and lack of any action verbs suggesting side effects (create, delete, execute, etc.) further confirms this is informational/Read category.

From the tool's definition Tool name 'custom_dashboards' and description 'Placeholder for personalized metric dashboards' indicates retrieval and presentation of metrics/data with no modification or execution capability.

Documented attack patterns abuse exactly the kind of access custom_dashboards gives an agent:

How to control custom_dashboards

PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Repos Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for custom_dashboards:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "custom_dashboards": {}
  }
}

custom_dashboards is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GitHub Repos Manager MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about custom_dashboards

What does the custom_dashboards tool do? +

Placeholder for personalized metric dashboards. It is categorised as a Read tool in the GitHub Repos Manager MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on custom_dashboards? +

Register the GitHub Repos Manager MCP Server MCP server in PolicyLayer and add a rule for custom_dashboards: 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 GitHub Repos Manager MCP Server. Nothing to install.

What risk level is custom_dashboards? +

custom_dashboards is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit custom_dashboards? +

Yes. Add a rate_limit block to the custom_dashboards 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.

How do I block custom_dashboards completely? +

Set action: deny in the PolicyLayer policy for custom_dashboards. 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.

What MCP server provides custom_dashboards? +

custom_dashboards is provided by the GitHub Repos Manager MCP Server MCP server (kurdin/github-repos-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GitHub Repos Manager MCP Server tool call.

Start from GitHub Repos Manager MCP 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.

84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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