Teradata

officiel

Une collection d'outils pour gérer la plateforme, traiter la qualité des données et lire et écrire dans la base de données Teradata.

GitHub

Que pouvez-vous faire avec Teradata MCP ?

Explore and profile database tables — Ask the AI to list tables, describe schemas, and summarize data distributions using base and qlty tools.
Run analytical queries in plain English — Describe the insight you need and let the assistant generate and execute SQL via base tools.
Visualize query results as charts — Request bar charts, line plots, or other visualizations directly from query output with plot tools.
Manage database security and access — Use sec and dba tools to review roles, permissions, and row-level security policies.
Build semantic search and RAG pipelines — Store and query vector embeddings for retrieval-augmented generation using rag and tdvs tools.

Documentation

Teradata MCP Server

Connect AI agents directly to Teradata with enterprise security and extensibility.

Teradata MCP Server architecture

Quick Start (Choose Your Path)

Client	Best For	Setup Time
Claude Desktop	Exploratory analysis, platform admin	5 min
VS Code + Copilot	Data engineering, agent development	5 min
Open WebUI	Testing new LLMs locally	5 min
Code Examples	Build your own client	varies
Flowise	Visual agent builder	10 min

Pre-requisites: Teradata database (or free sandbox) + uv

Claude Desktop Setup (No Installation)

Add this to claude_desktop_config.json (Settings > Developer > Edit Config):

{
  "mcpServers": {
    "teradata": {
      "command": "uvx",
      "args": ["teradata-mcp-server"],
      "env": {
        "DATABASE_URI": "teradata://<USERNAME>:<PASSWORD>@<HOST_URL>:1025/<USERNAME>"
      }
    }
  }
}

What You Can Do

Use Case	Capabilities	Tools
Query & Analyze	Explore tables, profile data, explain results, visualize patterns—no SQL needed	base, dba, qlty, plot
Semantic Layer	Generate custom semantic layers and tools from YAML or with our Agent Skill	Learn more →
AI & RAG Pipelines	Semantic search, retrieval-augmented generation, vector storage	rag, tdvs, fs
Database Admin	Manage security, monitor capacity, automate backups	dba, sec, bar

What's New (Latest Release)

FastMCP v3 — Guaranteed resource cleanup with improved lifespan management
Hooks Capability — Intercept tool calls for custom monitoring, audit, or rate-limiting
Row Limit Protection — Configurable caps (DEFAULT_ROW_LIMIT, MAX_ROW_LIMIT) prevent LLM token overflow
Enhanced Security — VX views for fine-grained row-level access control

Extend & Deploy

Add Custom Logic
Use hooks to intercept tool calls for monitoring, audit trails, or validation → Hooks Guide

Define Semantic Layers
Create domain-specific tools, prompts, and cubes in YAML → Customization Guide

Deploy Everywhere
Run as CLI (uv), HTTP server, Docker container, or cloud service → Installation Guide

See It In Action

Voice Agent — Real-time bidirectional audio with Amazon Nova Sonic
Web Agent — Interactive chat UI with Google ADK framework
Flowise Builder — Visual drag-and-drop workflows
Custom Middleware — Performance monitoring patterns

Learn More

Full Documentation — Installation, configuration, architecture, security
Video Tutorials — Step-by-step walkthroughs
Developer Guide — Extend and contribute
Architecture — How components work together

Contributing

We welcome contributions! See our Contributing Guide and Developer Guide to get started.