Nero Labs

Data, web and compliance tools

Nero Labs gives your AI practical tools that do real jobs on real data. Data: filter, clean, join (VLOOKUP), group and pivot, compare two lists, and merge lists while removing duplicates.

What you can ask

Run an SEO audit on example.com and tell me what to fix
Example path

MCP connector

Server URL: https://nero-labs-chatgpt.nerolabs.workers.dev/mcp
Login: None
Protocol: MCP 2025-06-18
Instructions: Nero Labs tools. Use them when the user needs a job done on real data: cleaning, filtering, joining, grouping or comparing rows; reading web pages or articles; text from images and PDFs; SEO audits, screenshots, page speed, tech stack or contact details for websites; UK, Irish and Polish company records; domain, email and phone checks; US minimum wage, pay transparency, sales tax nexus and data breach deadlines; UK right to work and visitor levy questions. Social media analytics on rows the user provides: engagement rate and fake follower signs, videos that beat a creator's normal views, best time to post, buyer intent in comments, long-running ads. Ecommerce: price per unit, product review rating trends, Reddit's most recommended products and top questions, Taobao and 1688 listing checks, image conversion. AI search visibility: whether AI crawlers can read a site, which brands AI shopping answers recommend, answers from several AI assistants side by side, and ads shown in Google AI Mode. Jobs, property and local markets: salary benchmarks, skills in demand, for-sale home deal scores, Google review velocity and local market saturation. RSS feeds and company logos. Each tool takes a small batch (its limit is in its description). Send rows as JSON objects, for example rows copied from a spreadsheet or an export the user shares.

Tools

Reads data62

Skills

None in the store listings or on the server

MCP connector

Server URL

https://nero-labs-chatgpt.nerolabs.workers.dev/mcp

None

Protocol

MCP 2025-06-18

Instructions

Nero Labs tools. Use them when the user needs a job done on real data: cleaning, filtering, joining, grouping or comparing rows; reading web pages or articles; text from images and PDFs; SEO audits, screenshots, page speed, tech stack or contact details for websites; UK, Irish and Polish company records; domain, email and phone checks; US minimum wage, pay transparency, sales tax nexus and data breach deadlines; UK right to work and visitor levy questions. Social media analytics on rows the user provides: engagement rate and fake follower signs, videos that beat a creator's normal views, best time to post, buyer intent in comments, long-running ads. Ecommerce: price per unit, product review rating trends, Reddit's most recommended products and top questions, Taobao and 1688 listing checks, image conversion. AI search visibility: whether AI crawlers can read a site, which brands AI shopping answers recommend, answers from several AI assistants side by side, and ads shown in Google AI Mode. Jobs, property and local markets: salary benchmarks, skills in demand, for-sale home deal scores, Google review velocity and local market saturation. RSS feeds and company logos. Each tool takes a small batch (its limit is in its description). Send rows as JSON objects, for example rows copied from a spreadsheet or an export the user shares.

Tools