About
This MCP server provides seamless integration with the unofficial Congress.gov API, allowing users to query bills, amendments, members, committees, and more directly from AI tools like Claude Desktop or Code. It simplifies legislative research with minimal setup.
Capabilities
Overview
The Congress.gov MCP server bridges the gap between AI assistants and the official United States Congress API. By exposing a rich set of endpoints—bills, amendments, summaries, members, committees, and more—the server allows developers to query real‑time legislative data directly from conversational agents. This eliminates the need for manual web scraping or reliance on third‑party news feeds, ensuring that AI responses are grounded in authoritative, up‑to‑date information.
What Problem It Solves
Legislative research is traditionally time‑consuming: analysts sift through PDFs, track bill status across multiple chambers, and cross‑reference sponsor information. For AI assistants, this translates into cumbersome workarounds or unreliable data sources. The MCP server solves this by providing a single, well‑documented interface that returns structured JSON responses for any legislative query. Developers can therefore embed accurate, current congressional data into workflows without writing custom API wrappers or handling authentication manually.
Core Features and Value
- Comprehensive Bill Retrieval: Access any bill by congress number, type (H.R., S.), or specific identifier.
- Detailed Amendment and Action Tracking: Retrieve the full amendment history, actions taken, and associated committees.
- Member & Committee Profiles: Query individual legislators or committee systems for sponsorship and reporting activity.
- Summaries & Text Extraction: Pull concise summaries or full legislative text for integration into reports or natural‑language explanations.
- Structured Responses: Every endpoint returns JSON with clear field names, enabling seamless parsing by AI models.
These capabilities allow developers to build applications that answer questions like “What is the status of H.R. 1234 in the 117th Congress?” or “Who are the cosponsors of a particular amendment?” with minimal latency and high accuracy.
Use Cases in Real‑World Scenarios
- Political Analysis Bots: Create assistants that monitor bill progress, flag upcoming votes, or generate alerts for policy changes.
- Education Platforms: Build tools that let students explore the legislative process, track bills relevant to their studies, or visualize congressional activity.
- News & Media: Integrate up‑to‑date legislative data into newsrooms, ensuring that articles reference official sources rather than secondary reporting.
- Government Transparency Apps: Provide citizens with an easy way to search for bills, amendments, and committee reports, fostering civic engagement.
Integration with AI Workflows
Once the MCP server is registered in an AI client, developers can invoke resources such as or directly from prompts. The server handles authentication, rate limiting, and data formatting, allowing the AI model to focus on natural‑language reasoning. Because MCP tools can be chained or combined with prompts, a single conversation could fetch a bill’s text, summarize it, and then ask the assistant to compare it with related legislation—all within one seamless interaction.
Unique Advantages
- Official Data Source: Unlike unofficial wrappers, this server taps directly into the U.S. Government’s primary API, guaranteeing data integrity and compliance with licensing terms.
- MCP‑Ready Design: By adhering to the Model Context Protocol, it fits naturally into existing AI tool ecosystems without custom adapters.
- Extensible Roadmap: The project’s open roadmap shows ongoing expansion (e.g., committee reports, hearings), ensuring that the server will grow alongside user needs.
In summary, the Congress.gov MCP server equips AI developers with a reliable, efficient gateway to U.S. legislative information—streamlining research, enhancing transparency, and enabling sophisticated AI‑driven applications across politics, education, and media.
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