Estimate monthly and annual GitHub costs based on team size and
AI agents call github_cost_estimate to retrieve information from Azure Pricing 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 cost estimation and forecasting based on input parameters (team size, etc.). It reads/queries pricing data and performs calculations to return estimates. It does not execute transactions, modify data, delete anything, or commit actual financial obligations. The output is informational (an estimate), not an actionable financial commitment.
From the tool's definition Tool name 'github_cost_estimate' and context indicating it 'Estimate[s] monthly and annual GitHub costs' — a calculation/query operation that retrieves or computes pricing data without modifying any systems or committing financial obligations.
Documented attack patterns abuse exactly the kind of access github_cost_estimate gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Azure Pricing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for github_cost_estimate:
{
"version": "1",
"default": "deny",
"tools": {
"github_cost_estimate": {}
}
} github_cost_estimate is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Estimate monthly and annual GitHub costs based on team size and. It is categorised as a Read tool in the Azure Pricing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Azure Pricing MCP Server MCP server in PolicyLayer and add a rule for github_cost_estimate: 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 Azure Pricing MCP Server. Nothing to install.
github_cost_estimate 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 github_cost_estimate 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 github_cost_estimate. 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.
github_cost_estimate is provided by the Azure Pricing MCP Server MCP server (msftnadavbh/azurepricingmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Azure Pricing 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.
18 Azure Pricing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.