The LangStudio template marketplace offers pre-built AI application flows and Model Context Protocol (MCP) server templates. Start from a template to skip repetitive setup and focus on customizing logic for your use case.
AI application templates
Each template is a pre-built application flow that you can deploy and customize. The following templates are available:
| Template | What it does | Documentation |
|---|---|---|
Document content insight assistant | Building a Document Mind Q&A Agent application with LangStudio & search MCP service | |
Audio summary assistant | Building an intelligent audio content summary assistant with LangStudio & speech recognition service | |
| Intelligent data agent | Chat with your business data using natural language, powered by AI and Hologres | Building ChatBI data analytics Agent applications with LangStudio & Hologres |
| Chatbot with RAG and web search | Answer questions from your documents and live web results using RAG and DeepSeek | |
| Intelligent NL2SQL assistant | Convert natural language questions into SQL queries against your RDS database | Building NL2SQL application flow with LangStudio & RDS |
| RAG | Build a Q&A application for domain-specific knowledge in finance or healthcare using DeepSeek and RAG | Building DeepSeek+RAG Q&A application flow for finance and healthcare with LangStudio |
| Intent recognition customer service | Route customer queries to the right response path using intent recognition and RAG | Building intent recognition application flow with LangStudio & RAG |
| IQS web search chat assistant | Build a web-search-enabled chat assistant using DeepSeek and Alibaba Cloud Information Query Service (IQS) | Building DeepSeek web search application flow with LangStudio & Alibaba Cloud Information Query Service |
To use a template, open LangStudio, go to Template marketplace, and select the template that fits your use case. Each template opens as an editable application flow that you can customize before deploying.
MCP templates
MCP is an open protocol that provides a channel for information transfer between large models and external tools. LangStudio integrates FunctionAI's MCP service templates, so you can add external capabilities to your application without building the integration from scratch.
Two paths are available:
| Path | When to use |
|---|---|
| Use an MCP Server template | FunctionAI's templates already cover the tool you need. This is the faster path — deploy a pre-built MCP Server in a few steps. |
| Create a custom MCP Server | You need to integrate a specific tool or internal API not covered by the existing templates. |