Teradata Database
The Teradata MCP Server provides AI assistants with direct access to Teradata database systems through a collection of specialized tools. Built in Python, it offers three tool categories: base tools for executing queries and exploring database structures, DBA tools for monitoring system performance and space usage, and data quality tools for analyzing missing values and statistical distributions. The server supports both stdio and Server-Sent Events (SSE) communication modes, includes comprehensive error handling, and can be integrated with various AI platforms including Claude, OpenAI, and Google models. This implementation is particularly valuable for data analysts and database administrators who need to perform Teradata operations without leaving their AI assistant conversation context.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/teradata/teradata-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Teradata Database from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.