MCP documentation

Connect AI tools to structured federal policy records and analysis.

Government context for your AI tools

Connect an AI client to Government Context to search federal policy activity, inspect the public record, analyze rulemaking comments, and follow the documents and lenses that matter to you.

The intended workflow is Search → get → list → analyze → follow. Tools return structured records and evidence; your AI client turns that structure into a useful answer.

One endpoint

https://mcp.governmentcontext.com

Known identity

Every connection uses a Government Context account

Generated reference

gc_search, gc_list_activity, gc_get_rulemaking, gc_get_comment, gc_list_comments, gc_analyze_comments, gc_get_grant, gc_get_press_release, gc_get_agency, gc_get_topic, gc_get_organization, gc_get_bill, gc_get_legislator, gc_get_amendment, gc_get_hearing, gc_get_committee, gc_get_bill_text, gc_list_bill_sections, gc_get_amendment_text, gc_list_bill_amendments, gc_follow, gc_unfollow, gc_list_follows, gc_submit_feedback

Choose a client

Claude Code for terminal and repository research.
Claude.ai for conversational research.
ChatGPT in the desktop app or on the web.

Teach your agent

The concepts page explains the two ideas the tools are organized around — Views and activity groups. Agents that support skills can load the Government Context usage skill: the same mental model and core workflows as ready-to-use agent instructions.

Your first query

Start with a research question that makes the server compose search, detail, and comment tools:

Which trade associations oppose the FMCSA broker-transparency rule, and what are their main arguments?

If free-tier data is withheld, the tool result explains what is missing and which paid capability would add it. The agent should relay that note instead of retrying the same request.