What is teradata-mcp-server-stc CLAUDE.md?

Development instructions for a Teradata MCP server, which lets AI applications interact with Teradata databases. They cover setup, running the server, optional modules, profiles, checks, tests, and Docker use.

Use them when developing or operating the Teradata MCP server, including local runs, integration tests, linting, type checks, Docker, and optional feature or vector-store modules.

They give developers the commands and configuration needed to build, run, check, and test the server. They also show how to connect it to a database and choose a transport or profile.

How manzoor-source/teradata-mcp-server-stc configures Claude Code

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Made for: Claude Code.

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README.md

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Per session 1,596 This file is loaded in full into every session.

When invoked 1,596 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.01596	$0.01596
Opus 5.5	$0.00638	$0.00638
Sonnet 5.5	$0.00319	$0.00319
Haiku 4.5	$0.00160	$0.00160

Measured 2mo ago against content hash d32e48c12cbd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

teradata-mcp-server-stc CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to teradata-mcp-server CLAUDE.md — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Teradata MCP Server — a Model Context Protocol server for interacting with Teradata databases. Built on FastMCP, distributed on PyPI as teradata-mcp-server. Python 3.11+.

Build & Development Commands

# Install dependencies
uv sync

# Install with optional modules
uv sync --extra fs       # Feature Store (teradataml)
uv sync --extra tdvs     # Vector Store (teradatagenai)
uv sync --extra bar      # Backup & Restore
uv sync --extra dev      # Dev tools (ruff, mypy)

# Run the server locally (stdio mode)
uv run teradata-mcp-server --database_uri "teradata://user:pass@host:1025/db"

# Run with specific profile and transport
uv run teradata-mcp-server --profile dba --mcp_transport streamable-http --mcp_port 8001

# Lint
uv run ruff check src/
uv run ruff format --check src/

# Type check
uv run mypy src/

# Run tests (requires a live Teradata connection)
export DATABASE_URI="teradata://user:pass@host:1025/database"
uv run python tests/integration/run_mcp_tests.py "uv run teradata-mcp-server"

# Docker
docker compose up teradata-mcp-server

Architecture

Request Flow

server.py — CLI argument parsing, calls create_mcp_app()
app.py — FastMCP app factory. Creates the MCP instance, registers tools/prompts/resources based on profile, configures middleware. A teradata_lifespan async context manager (passed to FastMCP(lifespan=...)) owns the TDConn pool lifecycle: creates the pool at server startup and calls engine.dispose() in its finally block on shutdown.
middleware.py — RequestContextMiddleware extracts per-request headers, auth, and session info. Sets Teradata QueryBand for tracing
Tool handlers — Plain sync functions (handle_*) in tools/ subdirectories. Wrapped to async via asyncio.to_thread

Profile-Based Module Loading

Tools are organized into domain modules under src/teradata_mcp_server/tools/:

base/ — Core queries (readQuery, tableList, columnDescription, etc.)
dba/ — Administration & monitoring
sec/ — Security & permissions
rag/ — Retrieval-augmented generation workflows
fs/ — Feature Store (optional, requires teradataml)
tdvs/ — Vector Store operations
bar/ — Backup & restore (optional)
chat/ — Chat completion
qlty/ — Data quality / EDA
plot/ — Visualization (charts)
sql_opt/ — SQL optimization
tmpl/ — Template tools

Read the full file on GitHub · 115 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 115 lines · 1,596 tokens per session scan A d32e48c12cbd

Subscribe to this mod's changes

teradata-mcp-server-stc CLAUDE.md is an instructions file published in the GitHub repository manzoor-source/teradata-mcp-server-stc (0 stars, last pushed 4mo ago), licensed MIT. It adds 1,596 tokens to every session, about $0.0064 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to teradata-mcp-server CLAUDE.md, differing in 10 lines, and is treated as a copy.

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teradata-mcp-server-stc: Instructions file for Claude Code