Washington State Legislature MCP Server

Washington State Legislature MCP Server

The Washington State Legislature MCP server bridges conversational AI assistants with the state’s legislative data ecosystem. By exposing a rich set of tools and resource endpoints, it lets developers build civic‑engagement applications that can query bills, committee schedules, and legislator information in real time. The server taps into the official Washington State Legislative Web Services (WSLWS), translating raw API responses into AI‑friendly formats and URLs that can be embedded directly in dialogue.

For developers, the server solves a key pain point: the need to surface up‑to‑date legislative content without reinventing authentication, pagination, or data normalization logic. Instead of parsing HTML pages or scraping PDFs, an assistant can call a single tool to retrieve a list of relevant bills or use to fetch the full text in plain‑text form. The server also offers a suite of resource URLs (e.g., ) that return direct links to official PDFs or XML documents, enabling downstream applications to cache or display these files without additional network hops.

Key capabilities include:

• Bill retrieval and search: , , provide granular access to bill metadata, status histories, and document links.
• Committee operations: supplies upcoming schedules and agendas, useful for event‑driven assistants.
• Legislator lookup: lets users locate representatives by district or sponsor a bill, facilitating personalized civic queries.
• Document resources: The namespace exposes XML, HTML, PDF, and generic format URLs, allowing clients to fetch the exact representation needed for display or analysis.

Real‑world scenarios abound: a city council portal could let residents ask “What is the status of SB 1234?” and receive a concise answer plus links to the full bill text; a political news app could surface upcoming committee hearings relevant to a user’s interests; or an educational chatbot might walk students through the legislative process by presenting bill histories and sponsor information.

Integration with AI workflows is straightforward. An assistant simply declares the server in its configuration, then invokes the appropriate tool with a natural‑language prompt. The server handles caching (via ) and timeout configuration, ensuring low‑latency responses. Its resource URLs can be embedded in rich‑text messages or rendered in web views, giving developers flexibility to present data in the most engaging format.

What sets this MCP apart is its focus on legislative transparency and developer ergonomics. By centralizing access to multiple data facets—bills, committees, legislators—and providing both structured and human‑readable outputs, it empowers developers to build robust civic applications without deep domain expertise or complex API plumbing.