Read-only regulatory source retrieval, citation tracing, authority metadata, and recent filings.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Open-source SDK, CLI, MCP server, and schemas for connecting AI agents to Rival's source-grounded regulatory retrieval API.
https://api.tryrival.aiThis repository is the developer and agent connectivity layer for Rival. It is intentionally read-only in its first release: agents can search, retrieve source text, trace citations, list authorities, and inspect recent filings. Workspace actions, document review, evidence requests, filings, and task creation remain behind managed Rival access and human review gates.
For local development from source:
For local evaluation without API access:
Fixture mode:
Run directly:
MCP client example:
Available MCP tools:
search_regulatory_corpusretrieve_source_texttrace_citationlist_authoritiesget_recent_filingsDocker belongs in this repository because many compliance, legal, consulting, energy, and infrastructure teams will run agent tools inside controlled environments. The image runs the MCP server and reads credentials from environment variables.
Fixture mode:
See docs/self-hosting.md for deployment notes.
The API contract starts with five read-only endpoints:
GET /api/v1/searchGET /api/v1/sources/{source_id}GET /api/v1/citations/traceGET /api/v1/authoritiesGET /api/v1/filings/recentThe contract lives in openapi/rival-regulatory-api.yaml.
This toolkit does not submit filings, alter compliance records, close corrective actions, delete evidence, or take workspace actions. It is a source retrieval and citation layer for agents and developer systems. Regulated work still requires qualified human review.
This toolkit is not legal, engineering, environmental, safety, or compliance advice. Teams are responsible for validating applicability, obligations, filings, and operational decisions with qualified professionals.
Apache-2.0
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