Braintrust MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Braintrust through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"braintrust": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Braintrust Agent",
instructions:
"You help users interact with Braintrust " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Braintrust?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Braintrust tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Braintrust MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Braintrust via MCP
Why Use Mastra AI with the Braintrust MCP Server
Mastra AI provides unique advantages when paired with Braintrust through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Braintrust without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Braintrust tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Braintrust + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Braintrust MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Braintrust, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Braintrust as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Braintrust on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Braintrust tools alongside other MCP servers
Braintrust MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Braintrust to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Braintrust to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBraintrust + Mastra AI FAQ
Common questions about integrating Braintrust MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.