MCP server

Data Quality Gate - deterministic post-scrape cleaner + verdict

io.github.aidatatools-dev/data-quality-gate

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Post-scrape data cleaner, no LLM: repairs mojibake, HTML, invisible chars. Plus a verdict.

Working at last checkOfficial: aidatatools.dev's GitHub account (aidatatools-dev)About 2,244 tokens per request once connected3 tools

Website

https://www.aidatatools.dev/api/mcp_server

At a glance

Type: MCP server
Publisher: aidatatools.dev (verified by the MCP Registry)
Status: Working at last check
Tools: 3
Token cost: About 2,244 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http data-quality-gate https://www.aidatatools.dev/api/mcp_server

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.data-quality-gate]
url = "https://www.aidatatools.dev/api/mcp_server"

Gemini CLI

{"mcpServers":{"data-quality-gate":{"httpUrl":"https://www.aidatatools.dev/api/mcp_server"}}}

Cursor

{"mcpServers":{"data-quality-gate":{"url":"https://www.aidatatools.dev/api/mcp_server"}}}

VS Code

{"servers":{"data-quality-gate":{"type":"http","url":"https://www.aidatatools.dev/api/mcp_server"}}}

Antigravity

agy mcp add data-quality-gate https://www.aidatatools.dev/api/mcp_server

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"data-quality-gate","server_url":"https://www.aidatatools.dev/api/mcp_server","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"data-quality-gate","server_url":"https://www.aidatatools.dev/api/mcp_server"}

Tools

check_dataset_quality ~257 tokens
Call this before using any dataset. Returns a deterministic quality verdict (RELIABLE / USABLE_WITH_CLEANING / UNRELIABLE) with exact facts: completeness, nulls, type consistency, impossible values, duplicates, outliers, and (on financial/trading data) cross-source price divergence. 100% determinist
clean_scraped_data ~1053 tokens
PAID TIER, CALLED FROM A FREE ENDPOINT -- READ THIS FIRST: this tool does NOT return your cleaned data, and its response has NO `data` key. It returns {"status": "payment_required", "what_we_found_in_your_data": {...}, "get_the_repaired_data": {...}}. Do not treat its output as cleaned data and do n
clean_scraped_data_audited ~934 tokens
PAID TIER, CALLED FROM A FREE ENDPOINT -- READ THIS FIRST: this tool does NOT return your cleaned data, and its response has NO `data` key. It returns {"status": "payment_required", "what_we_found_in_your_data": {...}, "get_the_repaired_data": {...}}. Do not treat its output as cleaned data and do n

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