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Teradata/teradata-mcp-server

Teradata/teradata-mcp-server

Teradata database integration
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Source
collected from the abordage/awesome-mcp list · type: MCP server
Harvest history
first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
Score
score 303 · 3 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Teradata MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Connect AI agents directly to Teradata with enterprise security and extensibility.
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):
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 v4** — Sessionless protocol, background tasks for long-running analytics, argument completion
- **Response Caching** — 5-minute TTL signals reduce redundant database queries in multi-turn conversations
- **Guard Mode** — Multi-step confirmation flows for destructive operations (bar_*, sec_*)
- **Background Tasks** — tdml_* analytic functions return task IDs for polling instead of blocking
- **Argument Completion** — Auto-suggest table and column names from schema as users type
- **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
Source
awesome · https://github.com/Teradata/teradata-mcp-server
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