Riveter
Connect your agent to Riveter for enrichment, scraping, and monitoring jobs while you research markets, leads, or competitive signals before you commit to a build.
Overview
Riveter MCP is an Idea-phase MCP server that exposes Riveter's enrichment, scraping, and monitoring API to AI agents for structured research workflows.
What is this MCP server?
- Official MCP bridge to Riveter's enrichment, scraping, and monitoring HTTP API (npm riveter-mcp-server v0.1.2).
- Stdio transport suitable for local agent configs in Claude Code or Cursor.
- Requires RIVETER_API_KEY from https://app.riveterhq.com/settings/api.
- Centralizes repeatable research automations (enrich records, scrape sources, monitor changes) behind MCP tools instead o
- Pairs with agent-driven workflows for indie founders doing outbound or landscape scans without hiring a data team.
- MCP server version 0.1.2
- npm package identifier riveter-mcp-server
- Stdio transport with required RIVETER_API_KEY
What problem does it solve?
Indie builders waste validation time manually enriching spreadsheets and checking competitor pages instead of automating repeatable research through their agent.
Who is it for?
Founders running agent-assisted market scans, lead enrichment, or change monitoring with a Riveter subscription.
Skip if: Teams without a Riveter API key, purely in-product analytics on your own app (use first-party telemetry), or offline-only research.
What do I get? / Deliverables
Your agent can call Riveter-backed enrichment, scrape, and monitor operations via MCP once RIVETER_API_KEY is configured, accelerating research loops.
- Agent-callable Riveter enrichment and scrape jobs via MCP
- Monitoring hooks for external pages or datasets through Riveter
- Repeatable research automations without custom script sprawl
Recommended MCP Servers
Journey fit
Canonical shelf is Idea because enrichment and scraping are most valuable when you are still gathering external data to decide what to ship, though the same API can support later growth workflows. Research subphase covers structured data collection and enrichment that informs positioning, ICP lists, and validation hypotheses.
How it compares
Riveter data API MCP integration, not a generic browser automation skill or CRM replacement.
Common Questions / FAQ
Who is riveter MCP for?
Solo builders and small teams who use Riveter for data enrichment or web monitoring and want those capabilities inside Claude Code, Cursor, or similar MCP clients.
When should I use riveter MCP?
Use it during idea and validation research when you need agent-driven enrichment, scraping, or monitoring against live external sources.
How do I add riveter to my agent?
Add the stdio MCP server from npm package riveter-mcp-server and set the required secret environment variable RIVETER_API_KEY from Riveter app settings.