mcpField
P
Plushwipes Agent Revenue

Plushwipes Agent Revenue

Remote
earn.plushwipes.comBusiness & Marketing0Updated 10w ago

About Plushwipes Agent Revenue

Plushwipes Agent Revenue is a stateless MCP server for evaluating a Plushwipes performance-commission opportunity. It reads only from fixed public endpoints and does not register users or write to the platform.

Key features

  1. 01Evaluate an opportunity
  2. 02Read public resources
  3. 03Prepare activation details
  4. 04Use fixed public endpoints only
  5. 05Stop when requests fail

Use cases

  1. 01Assess a public commission opportunity
  2. 02Retrieve Plushwipes public resources
  3. 03Prepare information for activation

MCP support

It provides three read-only MCP tools over Streamable HTTP for opportunity evaluation, public-resource retrieval, and activation preparation.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://plushwipes-agent-revenue-mcp.mike-01a.workers.dev/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

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

3

This tool takes no parameters.

Details

From the project README

Plushwipes Agent Revenue MCP

Stateless public Streamable HTTP MCP server with three read-only tools:

  • evaluate_opportunity
  • get_public_resource
  • prepare_activation

It has no D1, KV, R2, Durable Object, secret or private API binding. It never calls the registration endpoint or performs platform writes. It fetches only bounded JSON from fixed public https://earn.plushwipes.com endpoints, rejects redirects, and treats failures as a stop condition.

server.template.json is intentionally non-publishable until the exact GitHub owner/repository and the deployed Workers subdomain are read back. Generate server.json only after those values are verified, validate it with the official mcp-publisher, then publish once under the approved scope. Never retry an ambiguous Registry publication.

Comments

Markdown supported

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.