Bring Ai Evaluation
to LangChain
Create your Vinkius account to connect Braintrust to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Braintrust MCP Server?
Connect your Braintrust AI observation platform to any agent and maintain intense logic evaluation capabilities directly over conversation.
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
How it works
- Add this server to your AI cluster
- Bind your personal Braintrust API ID variables
- Leverage complex model tuning pipelines querying native AI logic regressions on chat
Automate LLM regression analyses effortlessly. Rather than scrolling tables, your bot handles strict semantic checking via Braintrust infrastructure logic directly.
Who is this for?
- AI Developers — push Ground Truth evaluation text datasets on the fly testing prompt differences
- Machine Learning Engineers — track specific variable distributions checking accurate regressions remotely
- Product Teams — observe exact string prompts dynamically pushing features validating response styles
- Data Scientists — construct massive matrices and evaluate test runs without pulling script queries
Built-in capabilities (10)
Establish a new historical experiment trace to record LLM pipeline tests
Create a new project environment for tracking AI evaluations and datasets
Retrieve a specific dataset containing exact schemas bounding LLM outputs
Retrieve exact variable contexts and literal text templates for a prompt
Append new test cases into a dataset matrix targeting specific evaluations
List isolated Ground Truth text banks used for automated evaluation scoring
Probe the Braintrust AI Gateway configurations managing model API keys securely
Retrieve all evaluation experiments mapping model test scores and metrics
Retrieve the list of all AI evaluation projects in Braintrust
Retrieve explicitly version-controlled system prompts isolated in Braintrust
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Braintrust through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Braintrust MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Braintrust queries for multi-turn workflows
Braintrust in LangChain
Why run Braintrust with Vinkius?
The Braintrust connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Braintrust using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Braintrust and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Braintrust to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Braintrust for LangChain
Every request between LangChain and Braintrust is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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