OpenTK Model Context Protocol Server

The OpenTK Model Context Protocol server is a specialized bridge that connects large language models (LLMs) to the Dutch parliamentary ecosystem. By wrapping Bert Hubert’s OpenTK data service, it translates complex queries about legislation, debates, and member activities into structured requests that an LLM can understand and act upon. This eliminates the need for developers to write custom parsers or scrape parliamentary websites, enabling rapid integration of up‑to‑date Dutch political data into conversational AI workflows.

At its core, the server exposes a rich set of tools that mirror the most common tasks researchers and journalists perform when exploring parliamentary records. Developers can issue high‑level commands such as “search documents about AI policy” or “retrieve the voting history of a specific MP,” and the server will translate those into precise API calls against the underlying tkconv service. The result is a seamless, typed interface that guarantees consistent data shapes and error handling—essential for building reliable AI assistants that can cite sources or generate summaries.

Key capabilities include:

• Document search with advanced filtering by topic, date range, and party affiliation.
• Member profiles, giving quick access to biographical details, committee memberships, and recent initiatives.
• Full‑text retrieval of parliamentary documents in multiple formats (PDF, HTML), allowing the LLM to read and summarize content directly.
• Legislative tracking, enabling queries about ongoing bills, amendments, and government pledges.
• Event scheduling for upcoming debates or committee meetings, complete with participant lists and agenda items.

These features make the server particularly valuable for use cases such as political analysis, policy research, and civic engagement tools. For example, an AI assistant could answer a user’s request to compare party positions on AI policy by pulling the latest debate transcripts and motion texts, then summarizing similarities and differences. In another scenario, a civic‑tech startup could build an interactive dashboard that lets citizens explore their MP’s voting record on healthcare reforms, powered by the same MCP endpoints.

Integration into AI workflows is straightforward thanks to the MCP specification. Once a client registers with the server, it can invoke any of the exposed tools as if they were native language constructs. The server handles authentication, rate‑limiting, and data serialization automatically, freeing developers to focus on higher‑level logic such as question routing or context enrichment.

What sets OpenTK apart is its combination of open‑government data and a standardized AI interface. By leveraging Bert Hubert’s comprehensive Dutch parliamentary dataset, the server offers unparalleled depth of coverage while maintaining a clean, type‑safe contract for LLMs. This synergy enables developers to build sophisticated, trustworthy AI applications that can navigate the intricacies of Dutch politics with ease.