Can I insert new test data dynamically tracking specific limits?

Yes. Utilizing the `insert_dataset_row` method, you can effortlessly inject exact JSON tracking payload mapping strings directly inside the text corpus evaluating the final results.

Does it pull out original Prompt definitions stored securely?

Certainly. The `get_prompt` command isolates and returns perfectly version-controlled bounding parameters slicing literal templates natively hosted under the Braintrust database.

How deeply can it inspect test regressions or scoring limits?

Using the robust `list_experiments` call, you can branch full arrays separating LLM version behaviors over massive iterations tracking the performance anomalies accurately.

Braintrust MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Braintrust
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Braintrust as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="braintrust_agent",
    instruction=(
        "You help users interact with Braintrust "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Braintrust as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Braintrust MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Braintrust via MCP

Why Use Google ADK with the Braintrust MCP Server

Google ADK provides unique advantages when paired with Braintrust through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Braintrust

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Braintrust tools with BigQuery, Vertex AI, and Cloud Functions

Braintrust + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Braintrust MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Braintrust and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Braintrust tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Braintrust regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Braintrust

Braintrust MCP Tools for Google ADK (10)

These 10 tools become available when you connect Braintrust to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Braintrust to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Braintrust + Google ADK FAQ

Common questions about integrating Braintrust MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.