Braintrust MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Braintrust as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Braintrust. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Braintrust?"
)
print(response)
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.
LlamaIndex agents combine Braintrust tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Braintrust MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Braintrust
Why Use LlamaIndex with the Braintrust MCP Server
LlamaIndex provides unique advantages when paired with Braintrust through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Braintrust tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Braintrust tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Braintrust, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Braintrust tools were called, what data was returned, and how it influenced the final answer
Braintrust + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Braintrust MCP Server delivers measurable value.
Hybrid search: combine Braintrust real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Braintrust to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Braintrust for fresh data
Analytical workflows: chain Braintrust queries with LlamaIndex's data connectors to build multi-source analytical reports
Braintrust MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Braintrust to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Braintrust to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBraintrust + LlamaIndex FAQ
Common questions about integrating Braintrust MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.