About Docket Room
Docket Room is a hosted MCP service for researchers and teams looking up legislative records across US states, DC, and Congress. It covers bills, votes, hearings, legislators, and federal regulations using data from official sources.
Key features
- 01Search and read bills and full text
- 02Look up votes, legislators, and hearings
- 03Search federal regulations
- 04Track bills and keyword changes
- 05Generate analyses, comparisons, and reports
Use cases
- 01Check a bill's status, sponsors, and text
- 02Find upcoming hearings on a topic
- 03Compare legislative activity across states
- 04Monitor changes to tracked bills
MCP support
The hosted remote MCP server exposes tools and prompts over Streamable HTTP, with OAuth 2.1 and PKCE. It supports MCP clients that can connect to remote servers with OAuth.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://docketroom.ai/api/mcpclaude mcp add --transport http makinglyai-docket-room https://docketroom.ai/api/mcp{"mcpServers":{"makinglyai-docket-room":{"type":"http","url":"https://docketroom.ai/api/mcp"}}}Open in Cursor{"servers":{"makinglyai-docket-room":{"type":"http","url":"https://docketroom.ai/api/mcp"}}}Open in VS Code{"mcpServers":{"makinglyai-docket-room":{"type":"http","url":"https://docketroom.ai/api/mcp"}}}{"mcpServers":{"makinglyai-docket-room":{"serverUrl":"https://docketroom.ai/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
Docket Room MCP server
Legislative intelligence for all 50 US states, DC and Congress, inside your AI assistant.
Docket Room gives Claude, ChatGPT, Cursor and other MCP clients live legislative data:
- bill status, full text, sponsors and actions
- roll-call votes
- hearings
- legislators
- federal regulations
Data is read nightly from official legislature sources, so answers come from the record, not a guess. Every result links back to docketroom.ai so you can share it.
This is a hosted (remote) server. There's nothing to install or run locally.
Connect
| Endpoint | https://docketroom.ai/api/mcp (Streamable HTTP) |
| Auth | OAuth 2.1 with PKCE and dynamic client registration. You sign in to a free Docket Room account during setup |
Claude (web or desktop): Settings → Connectors → Add custom connector → paste the endpoint → sign in.
ChatGPT: add a custom connector (in developer mode) with the endpoint above, then sign in.
Cursor: add to ~/.cursor/mcp.json:
{
"mcpServers": {
"docket-room": { "url": "https://docketroom.ai/api/mcp" }
}
}
Any MCP client that supports remote servers with OAuth: use the endpoint above.
Try asking
- What artificial-intelligence bills had action in any state legislature this week?
- Give me a brief on Wisconsin SB 1027: status, sponsors and what it does.
- Which upcoming hearings in California involve data privacy?
- Compare how states are regulating deepfakes in elections.
- What changed in the latest version of CA SB 53?
- Who sponsored HR 10768, and what else have they introduced on AI?
Plans
| Free | Pro | Team | |
|---|---|---|---|
| Search and read bills, hearings, votes, legislators, regulations | ✅ | ✅ | ✅ |
| Requests per hour | 60 | 1,000 | 5,000+ |
| AI analysis, amendment diffs, multistate comparisons, hearing briefs | 3 a day | ✅ | ✅ |
| Tracked bills | 5 | 100 | more |
| Shared team records, notes, org-profile impact scoring, webhooks | — | — | ✅ |
Tools
49 tools and 3 prompts, grouped:
| Group | Tools |
|---|---|
| Find bills | search_bills, semantic_search_bills, list_bills, fast_movers, bill_momentum, related_bills |
| Read a bill | get_bill, get_bill_text, get_bill_votes, get_bill_cosponsors, list_bill_versions, get_bill_changes |
| AI analysis | analyze_bill, compare_bill_versions, compare_bills, hearing_brief, generate_report |
| People | list_legislators, get_legislator, legislators_on_topic, bill_stakeholders |
| Hearings | upcoming_hearings, get_hearing |
| Federal regulations | search_regulations, get_regulation |
| Monitoring | recent_changes, activity_summary, tracked_changes, track_bill, untrack_bill, update_tracked_bill, list_tracked_bills, list_keyword_alerts, create_keyword_alert, delete_keyword_alert, list_webhooks, create_webhook, delete_webhook |
| Team workspace | get_organization_profile, set_organization_profile, assess_bill_impact, scan_relevant_bills, set_team_bill_record, add_team_bill_note, get_team_bill_record, list_team_bill_records, set_bill_relevance |
| Prompts | bill, bill_brief, topic_scan |
Data coverage
- States: all 50 states and DC. Official legislature sources are read nightly, and statuses are verified against them.
- Congress: bills, votes and hearings.
- Federal regulations: Federal Register documents.
Links
- Website: https://docketroom.ai
- REST API and webhooks: https://docketroom.ai/docs/api
- Privacy: https://docketroom.ai/privacy · Terms: https://docketroom.ai/terms
- Support: [email protected]
This repository contains the server's public documentation and registry metadata (server.json). The service itself is hosted by Docket Room.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.