TripGo MCP Server

Overview

The Kokkai Minutes MCP Agent is a ready‑to‑use Model Context Protocol server that bridges AI assistants with the Japanese National Diet Library’s parliamentary proceedings database. By exposing a clean, typed interface over MCP, it allows models such as Claude to query and retrieve structured records of Diet sessions, speeches, and debates without handling raw API endpoints or data formats. This solves the common pain point of integrating large, domain‑specific legislative corpora into conversational AI workflows—developers can focus on crafting prompts and interpreting results while the MCP server handles authentication, pagination, and data normalization.

At its core, the agent offers three powerful query functions. returns a concise list of meetings matching user criteria, ideal for quick overviews or timeline generation. expands each meeting entry to include the full transcript of speeches, enabling deep‑text analysis or sentiment tracking. Finally, lets users drill down to individual speaker statements across a specified date or session range. All functions accept a rich set of filters—date ranges, house (House of Representatives or House of Councillors), speaker identity, party affiliation, session numbers, and free‑text search terms—allowing precise retrieval of the exact parliamentary content a researcher or analyst needs.

For developers, this MCP server is valuable because it removes the need to build custom parsers for XML or JSON feeds, handle API keys, and manage rate limits. Instead, a single MCP call can surface complex legislative data directly into the model’s context, enabling tasks such as policy trend analysis, party stance comparison, or historical research. The server’s deployment on Cloudflare Workers guarantees low latency and global availability, while the Node.js/TypeScript implementation makes it easy to extend or host locally for testing.

Typical use cases include:

• Policy research: Quickly locate all speeches about immigration law reforms or childcare waiting lists over a multi‑year span.
• Political analysis: Track how the Prime Minister’s remarks on nuclear power or inbound tourism evolve after major events like COVID‑19.
• Historical inquiry: Retrieve debates from the original ratification of the US‑Japan Security Treaty or early discussions on demographic decline.

By integrating this MCP agent into an AI workflow—either via the proxy for local development or directly through Claude Desktop’s MCP configuration—developers can unlock the full richness of Japan’s parliamentary record in natural‑language queries. The result is a streamlined, scalable pipeline where AI assistants become powerful research tools for lawmakers, journalists, and scholars alike.