recommend_stack

StackSwap's reference starter stack for a given industry vertical. Returns a curated tool list with per-tool cost, total monthly/annual spend, AI-readiness and headless-readiness scores, and partner sign-up links. Use for greenfield 'what stack should I buy?' queries — distinct from scan_stack (a...

Server StackSwap StonesofCreation/stackswap-mcp
Category Read
Risk class Low
Parameters 31 required

What recommend_stack does on StackSwap

AI agents call recommend_stack to retrieve information from StackSwap without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
budget number Optional monthly budget cap in USD. If exceeded, the response flags the overage but does not auto-swap tools.
industry string Yes Industry vertical. Recognised: 'SaaS / Tech', 'Marketing Agency', 'Finance / Fintech', 'Consulting'. Common slugs (b2b_saas, fintech, agency) and aliases also a
teamSize string Team-size band for cost modeling. Defaults to 11-25.

Parameters from the server's own tool schema.

Why recommend_stack needs a policy

recommend_stack retrieves curated reference stacks and vendor information from the StackSwap database. No side effects occur — it does not create, modify, execute commands, delete data, or move money. The tool is explicitly read-only and provides advisory recommendations only, with partner sign-up links being informational redirects rather than transactional commits.

From the tool's definition Tool is described as returning 'a curated tool list' with 'cost', 'spend', 'scores', and 'partner sign-up links' — it retrieves and presents information without modifying any data.

Questions about recommend_stack

What does the recommend_stack tool do? +

StackSwap's reference starter stack for a given industry vertical. Returns a curated tool list with per-tool cost, total monthly/annual spend, AI-readiness and headless-readiness scores, and partner sign-up links. Use for greenfield 'what stack should I buy?' queries — distinct from scan_stack (audits an existing stack) and recommend_partner (single category). It is categorised as a Read tool in the StackSwap MCP Server, which means it retrieves data without modifying state.

What parameters does recommend_stack accept? +

recommend_stack accepts 3 parameters: budget, industry, teamSize. Required: industry. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on recommend_stack? +

Register the StackSwap MCP server in PolicyLayer and add a rule for recommend_stack: 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 StackSwap. Nothing to install.

What risk level is recommend_stack? +

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

Can I rate-limit recommend_stack? +

Yes. Add a rate_limit block to the recommend_stack 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 recommend_stack completely? +

Set action: deny in the PolicyLayer policy for recommend_stack. 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 recommend_stack? +

recommend_stack is provided by the StackSwap MCP server (StonesofCreation/stackswap-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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