Low Risk

recommend_api

Pick the best developer API for a task — returns a ranked shortlist of vendors from the Nextdev Agent Usability Index with: agent-readiness score, use-case fit, and the rationale behind each pick. Takes a free-text

How to control recommend_api ↓

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

Low Risk

recommend_api queries and retrieves structured API recommendations data based on input parameters. It has no side effects on any system or data store — it only reads from an index and returns recommendations. This is a classic Read category tool: it searches, filters, and returns information without creating, modifying, or deleting anything.

From the tool's definition Tool description states it 'returns a ranked shortlist' and 'Pick the best developer API' — purely retrieval and ranking of information from the Nextdev Agent Usability Index. No modification, deletion, or execution of external operations.

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

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

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

recommend_api 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 Nextdev MCP — 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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Go deeper

What does the recommend_api tool do? +

Pick the best developer API for a task — returns a ranked shortlist of vendors from the Nextdev Agent Usability Index with: agent-readiness score, use-case fit, and the rationale behind each pick. Takes a free-text. It is categorised as a Read tool in the Nextdev MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend_api? +

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

What risk level is recommend_api? +

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

Can I rate-limit recommend_api? +

Yes. Add a rate_limit block to the recommend_api 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_api completely? +

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

recommend_api is provided by the Nextdev MCP server (nextdev-labs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nextdev MCP tool call.

Deterministic rules across all 7 Nextdev MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

7 Nextdev MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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