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Riveter

Exposes Riveter’s enrichment, scraping, and monitoring API through the Model Context Protocol.

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Install Riveter

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for riveter, and we’d rather show nothing than a guess you’d paste into your client.

Open the project’s setup instructions

Overview

The riveter MCP server exposes Riveter’s enrichment, scraping, and monitoring API to MCP-compatible AI clients. Reach for it when an agent needs Riveter-based data enrichment, scraping, or monitoring and the client can connect to an MCP server.

Use cases

  • Enrich records through Riveter’s API
  • Scrape data through Riveter’s API
  • Monitor targets through Riveter’s API

Key features

  • Riveter API access over MCP
  • Data enrichment
  • Web scraping
  • Monitoring

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

5/5 checks healthy over the last 45d

How Riveter works

What the riveter MCP server does

The riveter MCP server provides an MCP interface to Riveter’s API. The listed scope covers three areas: enrichment, scraping, and monitoring. This makes the server relevant for agents that need to request Riveter data operations through MCP rather than relying on an unspecified direct API integration.

The available listing does not describe the individual operations exposed by the server. It also does not identify whether enrichment applies to particular record types, what sources can be scraped, or which monitoring targets and events are supported. Developers should consult Riveter’s documentation before planning workflows around those details.

How it works

An MCP-compatible AI client connects to the riveter MCP server, which represents Riveter’s API capabilities as MCP-accessible functionality.

As a result, compatibility should not be inferred for a particular editor, desktop application, coding assistant, or agent framework. The client must support the connection method required by Riveter’s implementation, but that method is not identified here.

Setup and configuration

The source points to Riveter documentation, but no installation command, package name, configuration file, endpoint, authentication method, or environment variable is provided.

Before deploying the riveter MCP server, verify the required Riveter credentials and connection settings in the official documentation. Also confirm whether the server runs locally or remotely and which MCP transport the target client expects. Because these details are not documented here, they should not be assumed.

Tools and capabilities

The documented capability areas are:

  • Enrichment through Riveter’s API
  • Scraping through Riveter’s API
  • Monitoring through Riveter’s API

The source does not provide exact MCP tool names, input fields, output formats, limits, polling behavior, or error semantics. Those details determine how an agent can use each capability and must be checked in Riveter’s documentation.

The riveter MCP server is therefore best evaluated as an interface to Riveter’s three stated API areas, rather than as a server with a known, fully enumerated tool catalog. Use the official documentation to confirm whether its available operations match the data sources and automation steps in your workflow.

Read the full README

Reviews

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Frequently Asked Questions about Riveter

riveter is an MCP server that connects AI clients to Riveter’s enrichment, scraping, and monitoring API. Its main purpose is to expose those three API areas through MCP tools.

Check Riveter’s documentation for the package, command, connection method, and required configuration before attempting setup.

The riveter MCP server supports Riveter’s enrichment, scraping, and monitoring API areas. The available description does not list the specific operations, parameters, data sources, or response formats for those capabilities.

The listing does not name any supported MCP clients, so consult Riveter’s documentation and verify that Cursor supports the server’s required connection method.

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