
Alexey Shurov
Actively maintained
not read yet
Use
- For
- Operational teams in finance, manufacturing, distribution and field operations with repetitive weekly work to hand off to AI agents.
- Activity
- Actively maintainedsite updated 2 days ago
- Used for
- Check emailed timesheets and run weekly payroll
- Price manufacturing quotes against a live ERP catalogue
- Compile daily multi-site field reports from site data
- On the web since 2025, older than 61% of its shelfINITE Atlas
- Has an MCP server (1 in the registry)public registry →
- Publishes llms.txt, a file written for AI assistantsshurco.ai ↗
- Domain since2025domain registered
- HeadquartersLondonper their About page
These are Alexey Shurov's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP serverai.shurco/llm-pricingverified in the MCP registry
- Stateanswers, 10 toolschecked 2026-10-27
- Address to connectshurco.ai/mcp
- OpenAPI spec4 pathsthe spec ↗
This card as JSON, for your agent →
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
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Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use Alexey Shurov for?
Sign in to leave a noteWhat is Alexey Shurov?
Asks five questions about a repetitive task and returns a plain answer on whether automating it is worth it. It is listed in the Atlas under Knowledge.
Who is Alexey Shurov for?
Operational teams in finance, manufacturing, distribution and field operations with repetitive weekly work to hand off to AI agents.
Do people use Alexey Shurov?
Little sign of use.
Is Alexey Shurov still maintained?
Actively maintained: site updated 2 days ago.
What are alternatives to Alexey Shurov?
In Knowledge, by use: Orion AI, FrontStat, OperStack, Energética, Perplexity, Atly.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
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How we read every tool → · By INITE Atlas Desk
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