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API KEY
DEPLOYMENT
Every deployment, project, and domain your engineering team ships lives in Vercel. Vercel MCP gives your agent authenticated access to deployment infrastructure scoped to the user who authorized it.
import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";
const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["vercel"], toolNames: ["vercel_deployments_list", "vercel_deployment_get", "vercel_projects_list"] },
pageSize: 100,
});
const lcTools = tools.map((t) => new DynamicStructuredTool({
name: t.tool.definition.name,
description: t.tool.definition.description,
schema: z.object({}).passthrough(),
func: async (args) => {
const { data } = await sk.tools.executeTool({
toolName: t.tool.definition.name,
identifier: "user_123",
params: args,
});
return JSON.stringify(data);
},
}));
const agent = createReactAgent({ llm, tools: lcTools });import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";
const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();
const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["vercel"], toolNames: ["vercel_deployments_list", "vercel_deployment_get", "vercel_projects_list"] },
pageSize: 100,
});
const llmTools = tools.map((t) => ({
type: "function",
function: {
name: t.tool.definition.name,
description: t.tool.definition.description,
parameters: t.tool.definition.input_schema,
},
}));
const resp = await openai.responses.create({
model: "gpt-4o", input: prompt, tools: llmTools,
});import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";
const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();
const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["vercel"], toolNames: ["vercel_deployments_list", "vercel_deployment_get", "vercel_projects_list"] },
pageSize: 100,
});
const llmTools = tools.map((t) => ({
name: t.tool.definition.name,
description: t.tool.definition.description,
input_schema: t.tool.definition.input_schema,
}));
const msg = await anthropic.messages.create({
model: "claude-sonnet-4-6", max_tokens: 1024,
tools: llmTools,
messages: [{ role: "user", content: prompt }],
});import { Agent } from "@google/adk/agents";
import {
MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";
const toolset = new MCPToolset({
connectionParams: new StreamableHTTPConnectionParams({
url: "https://mcp.scalekit.com/vercel",
headers: { Authorization: `Bearer ${userScopedToken}` },
}),
});
const agent = new Agent({
name: "agent", model: "gemini-2.0-flash",
tools: await toolset.getTools(),
});
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// shared token
audit → bot_service_account
user_filter → broken
// scalekit
audit → user_abc
scope → enforced ✓
