Braintrust MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Braintrust through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Braintrust Assistant",
instructions=(
"You help users interact with Braintrust. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Braintrust"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from Braintrust through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Braintrust, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Braintrust MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Braintrust
Why Use OpenAI Agents SDK with the Braintrust MCP Server
OpenAI Agents SDK provides unique advantages when paired with Braintrust through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Braintrust + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Braintrust MCP Server delivers measurable value.
Automated workflows: build agents that query Braintrust, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Braintrust, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Braintrust tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Braintrust to resolve tickets, look up records, and update statuses without human intervention
Braintrust MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Braintrust to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Braintrust to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Braintrust + OpenAI Agents SDK FAQ
Common questions about integrating Braintrust MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.