// MCP TOOL REFERENCE

VERCEL AI DOCS TOOLS

3 tools from the Vercel Ai Docs MCP Server, categorised by risk level.

View the Vercel Ai Docs policy →
// ALL 3 VERCEL AI DOCS TOOLS
READ 2 tools
Read agent-query Query the Vercel AI SDK documentation using an AI agent that can search and synthesize information. Require... Read direct-query Perform a direct similarity search against the Vercel AI SDK documentation index.
DESTRUCTIVE 1 tools
Destructive clear-memory Clears the conversation memory for a specific session or all sessions.

Route Vercel Ai Docs through PolicyLayer and every one of its 3 tools is checked against your policy before it runs.

CHECK YOUR STACK →

See every tool, the dangerous ones, and the token cost across your stack.

// FAQ
How many tools does the Vercel Ai Docs MCP server have? +

The Vercel Ai Docs MCP server exposes 3 tools across 2 categories: Read, Destructive.

How do I enforce policies on Vercel Ai Docs tools? +

Route the Vercel Ai Docs server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard; they are enforced on every call before it reaches the server.

What risk categories do Vercel Ai Docs tools fall into? +

Vercel Ai Docs tools are categorised as Read (2), Destructive (1). Each category has a recommended default policy.

Enforce policy on every Vercel Ai Docs tool call.

Start from Vercel Ai Docs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →

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43,000+ MCP servers and 220,000+ tools scanned and risk-classified.

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