Search / io.github.Akhiyugo/kanto-labs-mcp
Kanto Labs
L0· runs locallyWeb data, SEO, domain, company, trends, OCR, document and image tools for AI assistants via Apify.
v1.2.0 · active · repository · website · descriptor JSON · versions
Search / io.github.Akhiyugo/kanto-labs-mcp
L0· runs locallyWeb data, SEO, domain, company, trends, OCR, document and image tools for AI assistants via Apify.
v1.2.0 · active · repository · website · descriptor JSON · versions
{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +website ~liveness-unmeasured +updated-26d-ago -unpinned-packages(1)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb | mcpb | unpinned | – | APIFY_TOKEN |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.Akhiyugo/kanto-labs-mcp",
"title": "Kanto Labs",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.2.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"fileSha256": "62c70be545f2dd14a992d5a285be8ea7a1db7cdb37b2a74345ec20d7d47568a8",
"identifier": "https://github.com/kanto-labs/kanto-labs-mcp/releases/download/v1.2.0/kanto-labs-mcp.mcpb",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "APIFY_TOKEN",
"isSecret": true,
"isRequired": true,
"description": "Your Apify API token (console.apify.com/settings/integrations). Actor runs are billed to this account."
},
{
"name": "KANTO_MAX_CHARGE_USD",
"format": "number",
"description": "Default spending cap per tool call in USD, enforced by Apify (default 1.00)."
}
]
}
],
"repository": {
"url": "https://github.com/kanto-labs/kanto-labs-mcp",
"source": "github"
},
"websiteUrl": "https://apify.com/kantolabs",
"description": "Web data, SEO, domain, company, trends, OCR, document and image tools for AI assistants via Apify."
}