Agent harnesses

Connect Vercel AI SDK

Vercel · Apache-2.0

SupportedAPI key

The TypeScript AI toolkit — createMCPClient attaches remote MCP tools to any generateText or streamText call.

Repository MCP docs

1 · Choose the MCPs to connect

2 · How should it authenticate?

The config uses a mk_… placeholder — mint your key from MCP Access & keys and paste it in locally. Keys are revocable instantly.

3 · TypeScript — @ai-sdk/mcp

import { createMCPClient } from "@ai-sdk/mcp";

const deepinsights_mospi = await createMCPClient({
  transport: {
    type: "http",
    url: "https://marketplace-gateway-pef65a33ta-el.a.run.app/mospi/mcp",
    headers: { Authorization: "Bearer mk_…" },
  },
});
  1. 1.Replace mk_… with your personal API key.

4 · Create it as an app

Save this harness + MCP setup to your account. You get a workbench with a live test chat over the combined tool surface — the exact gateway endpoints, auth and tools Vercel AI SDK will use, metered to your own quota.

Sign in to create an app

5 · Or test each MCP on its own

Each playground's Chat and Tools pages exercise exactly the tools your harness will see — same servers, same gateway. Verify a query there first, then run it from Vercel AI SDK.

MoSPI (eSankhyiki)
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