Convex MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 4 tools to Run Action, Run Function, Run Mutation, and more

Name: Convex
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Convex through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Convex MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

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

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Convex, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Convex MCP Server

Connect your Convex deployment to any AI agent and manage your application's data and logic through natural conversation. This server allows you to interact with your real-time database and serverless functions without leaving your AI interface.

The Vercel AI SDK gives every Convex tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

Data Fetching — Execute read-only queries to retrieve documents and state from your Convex tables.
Transactional Updates — Run mutations to modify data with full ACID guarantees directly from the agent.
Side Effects & APIs — Trigger Convex actions for external API calls, heavy computation, or non-transactional logic.
Flexible Execution — Call functions using standard colon notation or URL-style identifiers for maximum compatibility.

The Convex MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Convex tools available for Vercel AI SDK

When Vercel AI SDK connects to Convex through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-database, serverless-functions, typescript, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

run

Run action on Convex

Call a Convex action function

run

Run function on Convex

g., "messages/list" instead of "messages:list"). Call a Convex function by its URL identifier

run

Run mutation on Convex

Call a Convex mutation function

run

Run query on Convex

Use this for fetching data. Call a Convex query function

Connect Convex to Vercel AI SDK via MCP

Follow these steps to wire Convex into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 4 tools from Convex and passes them to the LLM

Why Use Vercel AI SDK with the Convex MCP Server

Vercel AI SDK provides unique advantages when paired with Convex through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Convex integration everywhere

Built-in streaming UI primitives let you display Convex tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Convex + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Convex MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Convex in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Convex tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Convex capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Convex through natural language queries

Example Prompts for Convex in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Convex immediately.

"Run the Convex query 'messages:list' with no arguments."

"Call the mutation 'users:create' with the argument { "name": "Alice" }."

"Execute the function 'tasks/get_all' using run_function."

Troubleshooting Convex MCP Server with Vercel AI SDK

Common issues when connecting Convex to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Convex + Vercel AI SDK FAQ

Common questions about integrating Convex MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.