Gone. Gone from the registry since 12 Oct.
Japan X/Twitter sweepstakes data from ken-kaku.com. 3 tools: search, history, prize movers.
Runs on your machine from its package; the steps are below.
At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Distributed as an MCP bundle (`https://github.com/atushi1841/kensho-kaku/releases/download/v1.0.0/server.mcpb`) — download it and import the bundle in your MCP client.
Read-only MCP server exposing the kensho Japan X/Twitter sweepstakes dataset from ken-kaku.com (additional source for Kensho sweepstakes collection).
| Tool | Description |
|---|---|
current_sweep(keyword) | Latest sweep matching keyword (prize, brand, URL substring) |
sweep_history(keyword, limit=50) | Price time series (oldest first) |
top_prize_movers(direction=None, limit=10) | Biggest |
data/accumulated.jsonl (estimated 500+ observations, snapshot 2026-09-28)The underlying dataset is also available as a managed Apify Actor:
kjf9ZKQ5zWyOQxzvL) — the parent sweepstakes dataset that includes ken-kaku.com observationspython server/server.py # stdio MCP transport
python server/server.py --http # streamable-http at /mcp
Requires fastmcp>=3.0.0 (see requirements.txt).
manifest.json follows the MCPB v0.4 spec. Pack with:
npx -y @anthropic-ai/mcpb pack . dist/kensho-kaku.mcpb
This MCP Connector follows the Kensho revenue sharing model:
Install via Smithery registry:
smithery install @atushi1841/kensho-kaku
The kensho-kaku MCP Connector serves as an additional data source for the main Kensho sweepstakes collection, complementing the existing knshow.com, kenshou.club, and cp.meikan.org sources. It provides specialized coverage of the Ken-Kaku.com sweepstakes ecosystem.