Braintrust MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Braintrust 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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Vinkius supports streamable HTTP and SSE.
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 Braintrust, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Braintrust MCP Server
Connect your Braintrust AI observation platform to any agent and maintain intense logic evaluation capabilities directly over conversation.
The Vercel AI SDK gives every Braintrust tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Project Analytics — Retrieve logic banks and branch isolated AI test sets
- Experiments — Create real trace regression tests appending unique LLM scoring iterations
- Datasets — Query accurate Ground Truth sets and insert new prompt templates mapping your system accuracy
- Prompt Versioning — Grab perfectly frozen semantic prompts without editing core code boundaries
The Braintrust MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Braintrust to Vercel AI SDK via MCP
Follow these steps to integrate the Braintrust MCP Server with Vercel AI SDK.
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 10 tools from Braintrust and passes them to the LLM
Why Use Vercel AI SDK with the Braintrust MCP Server
Vercel AI SDK provides unique advantages when paired with Braintrust 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 Braintrust integration everywhere
Built-in streaming UI primitives let you display Braintrust 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
Braintrust + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Braintrust MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Braintrust in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Braintrust tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Braintrust capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Braintrust through natural language queries
Braintrust MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Braintrust to Vercel AI SDK via MCP:
create_experiment
Establish a new historical experiment trace to record LLM pipeline tests
create_project
Create a new project environment for tracking AI evaluations and datasets
get_dataset
Retrieve a specific dataset containing exact schemas bounding LLM outputs
get_prompt
Retrieve exact variable contexts and literal text templates for a prompt
insert_dataset_row
Append new test cases into a dataset matrix targeting specific evaluations
list_datasets
List isolated Ground Truth text banks used for automated evaluation scoring
list_env_vars
Probe the Braintrust AI Gateway configurations managing model API keys securely
list_experiments
Retrieve all evaluation experiments mapping model test scores and metrics
list_projects
Retrieve the list of all AI evaluation projects in Braintrust
list_prompts
Retrieve explicitly version-controlled system prompts isolated in Braintrust
Example Prompts for Braintrust in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Braintrust immediately.
"List all active test datasets configured under Braintrust."
"Look up prompt template using specific ID XYZ."
"Analyze recent experiments across multiple models testing behavior."
Troubleshooting Braintrust MCP Server with Vercel AI SDK
Common issues when connecting Braintrust to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBraintrust + Vercel AI SDK FAQ
Common questions about integrating Braintrust MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Braintrust with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Braintrust to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.