Kensho Apify Actors MCP

io.github.atushi1841Published by GitHub account atushi1841v1.0.2Updated Oct 24, 2026

Apify Actor MCP for Japanese market data. Mercari, Yahoo Auctions, Rakuten, SUUMO, Tabelog.

The publisher's own server: Apify MCP Server

Overview

AI-generated overview

Wraps Apify Actors to fetch Japanese market data from Mercari, Yahoo Auctions, Rakuten, SUUMO and Tabelog on demand.

What you can do
  • List the available Apify actors
  • Run an actor with input parameters and a timeout
  • Check a run's status and results
  • Fetch dataset items from a completed run, with a limit
  • Pull Japanese marketplace, auction, real-estate and restaurant-review data through those actors
When to use it
Useful when you need Japanese market data — used-goods prices, auction results, Rakuten listings, property listings or restaurant reviews — pulled through Apify actors and returned to the assistant for analysis.
Requirements
Runs locally as a Python 3.10+ process over stdio (an HTTP mode is also mentioned). Requires an Apify account and the APIFY_TOKEN environment variable; network access to Apify.
Before you install
The APIFY_TOKEN is a paid Apify credential, and running actors consumes Apify credits or plan quota. Actor runs and dataset fetches send queries to Apify and the underlying sites, so requests leave your machine. The README also points to paid datasets on a store page.

Installation

In SourceWeft

  1. Open Kensho Apify Actors MCP in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

kensho-apify — Apify Actor MCP Server

MCP server that wraps Apify Actors for on-demand Japanese market data fetching.

Tools

ToolDescription
list_actors()List all available Apify actors
run_actor(actor_id, input_data, timeout_seconds)Run an Apify actor with input parameters
get_run(run_id)Get run status and results
get_dataset(run_id, limit)Fetch dataset items from a run

Data Sources

Japanese market data from:

  • Mercari: 中古品価格検索
  • Yahoo Auctions: オークション落札価格
  • Rakuten: 楽天市場商品データ
  • Suumo: 不動産物件情報
  • Tabelog: レストランレビュー

Requirements

Installation (Smithery)

bash
smithery install @atushi1841/kensho-apify

More MCP Servers

Run

bash
export APIFY_TOKEN=apify_api_xxxpython server.py          # stdio MCP transportpython server.py --http   # streamable-http at /mcp

Data & Store

Source: README.md at commit 44f699a

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

2
  1. v1.0.2LatestOct 17, 2026
  2. v1.0.0Oct 14, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.

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