Blog by Daniel Schuman: “The Government Publishing Office grabbed the spotlight at the final Congressional Data Task Force meeting of 2025 last Wednesday by announcing that it is launching a Model Context Protocol server for artificial intelligence tools to access official GPO publication information. The MCP server lets AI tools like ChatGPT and Gemini pull in official GPO documents, allowing them to rely on current, authoritative information when answering questions.
Here’s why this matters. Large Language Models are trained on large collections of text, but that training is fixed at a point in time and can become outdated. As a result, an AI may not know about recent events or changes and may even give confident but incorrect answers.
Technologies like an MCP server address this problem by allowing an AI system to consult trusted, up-to-date sources when it needs them. When a question requires current or authoritative information, the AI can request that information from the MCP server, which returns official data—such as publications from the Government Publishing Office—that the AI can then use in its response. Most importantly, the design of an MCP server allows for machine-to-machine access, helping ensure responses are grounded in authoritative sources rather than generated guesses.
Adding MCP creates another mechanism for the public to access GPO publications, alongside search, APIs, and bulk data access. It is a good example of the legislative branch racing ahead to meet the public need for authoritative, machine-readable information.
GPO’s Mark Caudill said his office implemented the MCP both to respond to growing demand for AI-accessible data and to avoid having to choose the “best” AI agent. This is in line with GPO’s mission of being a trusted repository of the official record of the federal government. With a wide range of AI tools in use, from general use ones like ChatGPT and Gemini to more specific ones geared toward legal research, GPO’s adoption of MCP allows it to be agnostic across that ecosystem.
A user would configure the LLM of their choice to connect to GovInfo’s MCP, allowing it to draw data from GPO publications rather than being limited to its training data. How well the model interprets those publications and returns quality answers to users is beyond GPO’s control.
GPO also has expanded access to data in ways that don’t involve AI, including expansion of its customizable RSS feeds for users interested in specific types of documents or the latest data from specific federal offices or courts.. The video and slides for the event are available on the Legislative Branch Innovation Hub…(More)”.
