Analytics
aidatatools.dev
Provides utilities for assessing dataset quality and cleaning scraped data.
ENDPOINT 1
https://www.aidatatools.dev/api/mcp_server
MCP server metadata
- Name
- data-quality-gate
- Version
- 0.1.0
Three tiers over one deterministic engine (no LLM anywhere). 1. check_dataset_quality -- JUDGE a dataset: score + facts + a RELIABLE/USABLE_WITH_CLEANING/UNRELIABLE verdict. Call it when deciding whether to trust a source. 2. clean_scraped_data -- REPAIR data: call it on the output of every scrape or extraction, before using or storing it. Returns the cleaned data itself. 3. clean_scraped_data_audited -- the same repair plus a replayable, reversible ledger of every transformation, for when you must prove what changed. All three are deterministic: the same input always produces the same output, so results can be cached, replayed and audited. This MCP endpoint is free; the REST equivalents are x402-gated (POST /api $0.01, /api/clean $0.04, /api/clean/audit $0.12).
Known tools 3
clean_scraped_dataPAID TIER, CALLED FROM A FREE ENDPOINT -- READ THIS FIRST: this tool does NOT return your cleaned data, and its response has NO `data` key.
Inferred read-onlyclean_scraped_data_auditedPAID TIER, CALLED FROM A FREE ENDPOINT -- READ THIS FIRST: this tool does NOT return your cleaned data, and its response has NO `data` key.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.data-quality-gate]
url = "https://www.aidatatools.dev/api/mcp_server"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"data-quality-gate": {
"type": "http",
"url": "https://www.aidatatools.dev/api/mcp_server"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: data-quality-gate
Remote MCP URL: https://www.aidatatools.dev/api/mcp_server
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"data-quality-gate": {
"url": "https://www.aidatatools.dev/api/mcp_server"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"data-quality-gate": {
"type": "http",
"url": "https://www.aidatatools.dev/api/mcp_server"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "data-quality-gate",
"transport": "streamable-http",
"url": "https://www.aidatatools.dev/api/mcp_server"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for aidatatools.dev was fetched 2026-09-18T19:38:33.802Z.
aidatatools.dev is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.