Search Japan's National Diet records (1947-present): statements, Q&A, and debates with citations.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Japan Parliament Search, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Capabilities & Tool Schemas (2)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Japan Parliament Search.
search_speechesFull-text search across all Diet speeches (1947–present). Filter by speaker, house (衆議院/参議院), meeting name, and date range. Returns speaker, position, party, date, an excerpt (or full text with `full_text=true`), and an official citation URL.
search_meetingsFind which plenary sessions and committees discussed a topic, and when — the bird's-eye view before drilling into individual speeches.
Documentation Overview
Japan Parliament Search MCP — 国会会議録検索
Give your AI agent access to every word spoken in Japan's National Diet since 1947.
This MCP server searches the official National Diet Library record system — ministerial statements, committee Q&A, and policy debates — the primary source for understanding Japanese government policy. Built for policy research, journalism, government-affairs, and compliance AI agents.
Why this server?
Japanese policy signals appear in Diet debates months before they become law or regulation. This data is public but effectively invisible to AI agents: Japanese-only, verbose, and buried in a legacy search interface. This server makes it queryable in one tool call.
Tools
search_speeches
Full-text search across all Diet speeches (1947–present). Filter by speaker, house (衆議院/参議院), meeting name, and date range. Returns speaker, position, party, date, an excerpt (or full text with full_text=true), and an official citation URL.
search_meetings
Find which plenary sessions and committees discussed a topic, and when — the bird's-eye view before drilling into individual speeches.
Example queries your agent can now answer
- 「生成AIについて文部科学大臣は国会でどう答弁している？直近のものを引用して」
- "When did the Diet last debate semiconductor subsidies, and in which committee?"
- 「インボイス制度に関する財務省side答弁を2026年に絞って要約して」
Data source & freshness
Official National Diet Library (国立国会図書館) Kokkai Kaigiroku API, fetched live on every call. Records go back to 1947 and include the most recent published sessions.
Pricing
Pay per tool call. One speech search or one meeting search = one event. No subscription, no minimum.
日本語
国会会議録（1947年〜最新）の答弁・質疑をAIエージェントから全文検索できるMCPサーバーです。発言者・院・委員会・期間での絞り込み、出典URL付き。政策調査・報道・渉外・コンプライアンス系AIに最適です。
Get started
This is a hosted (remote) MCP server, available on Apify Store:
👉 https://apify.com/e-asakura/japan-parliament-search-mcp
The store page includes setup instructions for Claude, ChatGPT, Cursor, and any MCP-compatible client. Pay-as-you-go: $0.02 per tool call, no subscription.
Built by Edward Asakura — Japanese data infrastructure for AI agents. Part of the SEKISHO series: subsidies / laws / parliament.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
2
Callable tools this server registers over MCP.
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Frequently Asked Questions about Japan Parliament Search
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CategoryDeveloper Tools
43Quality signal: Fair · 43/100How this signal is calculated ▾
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Verified ownership10/20
Documentation & tools20/30
Adoption & activity2/15
Community engagement0/10
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