r-huijts/opentk-mcp

> **Important Attribution**: This MCP server is built as a wrapper around the excellent OpenTK project created by Bert Hubert. The OpenTK project provides unprecedented access to Dutch parliamentary data through a user-friendly interface. Learn more about the project in Bert's article: Welkom bij OpenTK. All credit for the underlying data access and processing goes to Bert Hubert and his contributions to open government data.
A bridge between large language models (LLMs) and Dutch parliamentary data through a standardized interface. This MCP server provides access to Dutch parliamentary documents, debates, and member information from the Tweede Kamer.
Real-World Natural Language Interaction Examples
Example 1: Comparing Party Positions on AI Policies
User Query: "When comparing the activities of opposition parties PvdA, GroenLinks, and Volt with government party BBB in the Dutch House of Representatives in the field of AI, what are actions they can undertake together in the short term that align with the positions and views they have demonstrated over the past year? Please use sources from OpenTK."
Example 2: Researching Parliamentary Discussions on Climate Policy
User Query: "I'd like to analyze recent parliamentary debates on climate policy and emission reduction targets in the Netherlands. Can you help me identify key discussions and the main positions taken by different parties over the past six months?"
Example 3: Information About a Specific MP's Voting Record
User Query: "What is MP Pieter Omtzigt's voting record on healthcare reform legislation, and how does his position differ from other independent members? Has he introduced any motions on this topic?"
Example 4: Finding Recent Housing Legislation Developments
User Query: "What are the most significant parliamentary documents and debates about affordable housing legislation from the past year? I'm particularly interested in proposals addressing the rental market crisis."
Example 5: Efficiently Triaging Multiple Documents (NEW - Smart Analysis)
User Query: "I found 15 documents about climate policy from the last month. Can you quickly identify which 3 documents are most relevant to renewable energy subsidies and wind power legislation, without reading all of them in full?"
Example 6: Extracting Key Topics from Parliamentary Documents (NEW - Smart Analysis)
User Query: "What are the main topics, keywords, and political parties mentioned in document 2024D39058? I want to understand what it's about before diving into the full text."
Example 7: Finding MPs with Specific Committee Memberships
User Query: "Which MPs currently serve on both the Finance Committee and the Economic Affairs Committee? What parties do they represent, and have they recently submitted any joint initiatives?"
Example 8: Identifying Upcoming Parliamentary Activities on Digital Security
User Query: "Are there any scheduled committee meetings or debates about cybersecurity and digital infrastructure planned for the next month? Which ministers will be participating and what specific topics will be addressed?"
Project Concept
The OpenTK project is a Model Context Protocol (MCP) server that provides access to Dutch parliamentary data through a standardized interface. It serves as a bridge between large language models (LLMs) and the Dutch Parliament's information systems, allowing AI assistants to search, retrieve, and analyze parliamentary documents, debates, and member information.
The server uses the @modelcontextprotocol/sdk to implement the MCP specification, which enables structured communication between AI models and external data sources. By exposing parliamentary data through well-defined tools and endpoints, OpenTK makes it possible for AI assistants to: