The Teradata MCP Server is a comprehensive tool for managing, querying, and analyzing Teradata databases. Key capabilities include:
- Query Execution: Run both
Enables configuration management through environment variables stored in .env files, supporting database connection parameters, LLM credentials, and server settings.
Supports integration with OpenAI models through API key configuration, enabling LLM capabilities within the server environment.
Provides database interaction capabilities with Teradata systems, offering tools for querying, data quality assessment, and database administration tasks such as executing queries, retrieving table structures, analyzing space usage, and performing data quality checks.
Teradata MCP Server
Overview
The Teradata MCP server provides sets of tools and prompts, grouped as modules for interacting with Teradata databases. Enabling AI agents and users to query, analyze, and manage their data efficiently.
Key features
Available tools and prompts
We are providing groupings of tools and associated helpful prompts to support all type of agentic applications on the data platform.
- Search tools, prompts and resources to search and manage vector stores.
- RAG Tools rapidly build RAG applications.
- Query tools, prompts and resources to query and navigate your Teradata platform:
- Table tools, to efficiently and predictably access structured data models:
- Feature Store Tools to access and manage the Teradata Enterprise Feature Store.
- Semantic layer definitions to easily implement domain-specific tools, prompts and resources for your own business data models.
- Data Quality tools, prompts and resources accelerate exploratory data analysis:
- DBA tools, prompts and resources to facilitate your platform administration tasks:
Getting Started
Step 1. - Identify the running Teradata System, you need username, password and host details to populate "teradata://username@host:1025". If you do not have a Teradata system to conect to, then leverage Teradata Clearscape Experience
Step 2. - To cofigure and run the MCP server, refer to the Getting started guide.
Step 3. - There are many client options availale, the Client Guide explains how to configure and run a sample of different clients.
A Video Library has been curated to assist.
Quick start with Claude desktop
If you want to quickly evaluate the tool, we recommend using Claude desktop, the uv package manager and Teradata Clearscape Experience.
- Get your Teradata database credentials or create a free sandbox at Teradata Clearscape Experience.
- Install uv. If you are on macOS, use Homebrew:
brew install uv
- Clone this repository with
git clone https://github.com/Teradata/teradata-mcp-server.git
- Install Claude Desktop
- Configure the claude_desktop_config.json (Settings>Developer>Edit Config) by adding the code below, updating the PATH_TO_DIRECTORY (where you cloned the repo in step 2) and database username, password and URL.
Contributing
Please refer to the Contributing guide and the Developer Guide.
Certification
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
A server providing tools for querying and analyzing Teradata databases, including database management, data quality assessment, and SQL execution capabilities through an MCP interface.
- Overview
- Environment Set Up
- Testing your server with MCP Inspector
- Running the server
- Adding your sever to an Agent using stdio
- Adding tools using stdio to Visual Studio Code Co-pilot
- Adding tools using SSE to Visual Studio Code Co-pilot
- Adding the MCP server to Claude Desktop
- Exposing tools as REST endpoints with mcpo
- Using the server with Open WebUI
- Certification
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