Dominican Congress MCP Server

Overview

The Dominican Congress MCP Server bridges AI assistants with the latest legislative data from the Dominican Republic. By exposing a suite of specialized tools, it allows developers to programmatically access agendas, track individual legislator activity, and retrieve newly introduced bills—all without writing custom web scrapers or API wrappers. This capability is especially valuable for civic tech projects, policy analysis tools, and news platforms that need up‑to‑date information on parliamentary proceedings.

At its core, the server offers a collection of actionable tools. Each tool is a declarative endpoint that accepts simple parameters such as the chamber name ( or ) or a legislator’s name. The tools include:

• fetch‑legislative‑agenda – retrieves the daily agenda for a specified chamber.
• get‑legislator‑activity – returns the recent actions and speeches of a named legislator.
• summarize‑today – produces an executive summary of all legislative activity for the current day.
• new bills – lists bills that have entered the legislative process in a given chamber.
• parse‑pdf / parse‑csv / parse‑xlsx – convert official documents from URLs into structured data.
• datos‑abiertos – queries the Dominican government’s open‑data API with flexible filters.

These tools are exposed through the MCP protocol, meaning any MCP‑compatible client—such as Claude or other AI assistants—can invoke them with a single JSON payload. The server’s resource templates provide quick access to daily bulletins via , enabling automated retrieval of summarized reports.

Key Features and Value

1. Real‑time Legislative Insight – The server taps into official sources to deliver fresh agendas and bill lists, allowing developers to build dashboards that reflect the current state of Parliament.
2. Fine‑grained Legislator Tracking – By querying activity by name, the server supports use cases such as political transparency tools or constituency engagement platforms that monitor how representatives are performing.
3. Document Parsing – The PDF, CSV, and XLSX parsers turn raw legislative documents into machine‑readable formats, streamlining data pipelines for research or compliance applications.
4. Open Data Integration – The tool provides a single entry point to the government’s open data portal, simplifying access to demographic or budgetary datasets that can be correlated with legislative actions.
5. Extensibility – As a Node.js application, developers can fork the repository and add new tools or modify existing ones to suit evolving needs.

Use Cases

• Policy Analytics Platforms – Aggregate agendas, bill texts, and legislator statements to feed machine‑learning models that predict policy outcomes.
• News Aggregators – Generate daily summaries of parliamentary sessions for journalists, automatically updating feeds as new bills are introduced.
• Civic Engagement Apps – Let constituents track their representatives’ activity and receive alerts when a bill affecting them is debated.
• Academic Research – Provide scholars with clean, parsed datasets of legislative documents for quantitative studies on lawmaking patterns.

Integration into AI Workflows

Because the server adheres to MCP, any AI client that supports the protocol can discover its tools after configuration. A typical workflow involves:

1. Discovering Tools – The client queries the server’s tool registry.
2. Invoking a Tool – The AI assistant sends a JSON request specifying the tool name and arguments.
3. Processing Results – The client receives structured data (JSON) that can be passed back to the assistant for summarization, visualization, or further analysis.

This seamless integration allows developers to embed up‑to‑date legislative intelligence directly into conversational agents, chatbots, or automated reporting systems without managing complex API keys or authentication flows.

In summary, the Dominican Congress MCP Server transforms static legislative information into a dynamic, machine‑friendly resource. Its thoughtful set of tools and easy integration with MCP clients empower developers to build transparent, data‑driven applications that keep citizens informed and engaged with their government.