About Kensho Apify Actors MCP
Kensho Apify Actors MCP wraps Apify Actors to fetch Japanese market data on demand. It is for users who need to discover actors, run them, and retrieve run results or datasets covering sources such as Mercari, Yahoo Auctions, Rakuten, Suumo, and Tabelog.
Key features
- 01List available Apify Actors
- 02Run actors with input parameters
- 03Check run status and results
- 04Retrieve run datasets
Use cases
- 01Find an actor for a Japanese data source
- 02Run a market-data collection task
- 03Check a completed actor run
- 04Retrieve dataset items from a run
MCP support
Exposes Apify Actor discovery, execution, run-status, and dataset tools to MCP clients. Supports stdio and streamable HTTP transports.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEkensho-apify — Apify Actor MCP Server
MCP server that wraps Apify Actors for on-demand Japanese market data fetching.
Tools
| Tool | Description |
|---|---|
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
APIFY_TOKENenvironment variable (from https://apify.com/account/tokens)- Python 3.10+
Installation (Smithery)
smithery install @atushi1841/kensho-apify
More MCP Servers
- kensho-kaku — Sweepstakes from ken-kaku.com
- kensho-kclub — Sweepstakes from kenshou.club
- kensho-kema — Sweepstakes from ke-ma.net
- tcg-price-japan — TCG used-price trends
Run
export APIFY_TOKEN=apify_api_xxx
python server.py # stdio MCP transport
python server.py --http # streamable-http at /mcp
Data & Store
- Apify Store: https://apify.com/fruitful_quintessence
- Gumroad datasets: https://atushi5.gumroad.com/l/kutuxe
Comments
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