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Kanto Labs

io.github.Akhiyugo/kanto-labs-mcp

Source code

About Kanto Labs

Kanto Labs is an MCP server published by the GitHub account Akhiyugo. Web data, SEO, domain, company, trends, OCR, document and image tools for AI assistants via Apify.

It runs on your own machine: your AI client starts it from the MCP bundle package kanto-labs-mcp.mcpb, with no version pinned.

It asks for one secret: APIFY_TOKEN. Give it a key with the least access that still works.

Version 1.2.0 was published on 23 September 2026, and the source code is public, so you can read it before installing.

Written from the registry entry. 8 automated checks on the registry entry and the package code: 5 pass, 1 warn, 0 fail, 2 info. How we check.

What it asks for

VariableRequiredSecretDescription
APIFY_TOKENYesYesYour Apify API token (console.apify.com/settings/integrations). Actor runs are billed to this account.
KANTO_MAX_CHARGE_USDNoNoDefault spending cap per tool call in USD, enforced by Apify (default 1.00).

Checks

CheckResultDetail
Source repository linkedPasshttps://github.com/kanto-labs/kanto-labs-mcp
Version pinnedWarnNot pinned: https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb
Secrets requestedInfoAsks for 1 secret: APIFY_TOKEN
Known package registryPassAll packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownershipInfoName verified via GitHub account Akhiyugo
Registry text aimed at the AIPassDescription and settings contain no hidden characters or instructions to the AI
Code red flagsPassRead 2265 files in the bundle: no obfuscation, encoded execution, credential reads or data-collection endpoints found
Text aimed at the AIPassNo hidden characters or instructions to the AI in 2265 files, including comments and the README

Popularity & health: 40 / 100

Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.

Popularity0 / 40

0 GitHub stars, no download count, no Hacker News posts found. Best two of the three, each on a log scale.

Activity16 / 25

Last push 2026-09-23, last release 2026-09-23, 5 commits in 90 days.

Issue health8 / 15

0 closed of 0 issues, too few to judge. No data, so half marks.

Our checks16 / 20

1 warning, each costing a fifth.

0 forks, 0 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.

What people say

No Hacker News threads link to its source code.

Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.

Facts

Registry nameio.github.Akhiyugo/kanto-labs-mcp
PublisherGitHub account Akhiyugo
How the name is verifiedName verified via GitHub account Akhiyugo. The registry ties the name prefix to that account or domain; it does not check the code.
TypeLocal: runs on your machine from a package
Packagesmcpb https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb no version given (stdio)
Version1.2.0
Published
Last updated
Source repositoryhttps://github.com/kanto-labs/kanto-labs-mcp
Websitehttps://apify.com/kantolabs
CategoryAnalytics & monitoring (assigned by keyword rule, not by hand)

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