MCP ExplorerExplorer

Sparcaroo

@jodobearon 9 months ago
22 MIT
FreeCommunity
AI Systems
Roo-Code Agents & MCP Setup

Overview

What is Sparcaroo

Sparcaroo is a setup for Roo-Code Agents and MCP, designed to enhance the capabilities of autonomous open-source AI agents that can code, debug, and evolve software systems with minimal human intervention.

Use cases

Use cases for Sparcaroo include developing software applications, automating debugging processes, and enhancing coding efficiency in collaborative projects.

How to use

To use Sparcaroo, install Roo-Code, clone the necessary repositories, set up your API keys, and connect to the MCP server through the VSCode interface. Follow the provided steps in the README for a successful setup.

Key features

Key features of Sparcaroo include customizable AI agents, integration with MCP for domain-specific context, and the ability to handle complex projects with enhanced agentic capabilities.

Where to use

Sparcaroo can be used in software development, AI research, and any field requiring automated coding and debugging processes, particularly in complex project environments.

Content

Roo-Code Agents & MCP Setup

Credit

All thanks to Pablof7z who made this setup and gave the workshop at SEC.

Introduction

Roo Code is an autonomous open-source AI agent designed to code, debug, and evolve software systems with minimal human input. Its like cursor, but unleashed. It is extremely customizable and here we are going to get it OVER 9000!.

The following setup is to have roocode, (github) better agentic capabilities even for complex projects and augment it with MCP to provide domain specific context.

Prerequisites

  1. Install roo-code if you don’t have it yet, following official documentation or if you have VSCode, download from Extensions.

  2. Clone this repo.

  3. Clone the mcp-code repo anywhere you want and follow its instructions to build it. This is our MCP server built for Nostr.

  4. Install cursor-tools from their github (not strictly necessary). This is for the feedback loop using gemini for the code generated for evaluation.

  5. Get an API key from any of your LLM providers, OpenRouter, PPQ.ai(accepts lightning) are good ones that allow you to use many of the latest LLMs

Info on files

  • .roomodes: Has all the info on all the different modes(agents) we have configured in SPARC.
  • .cursorrules: Has the rules for cursor-tools

Steps

  1. Create a test project directory & copy all the files (incl dotfiles) from the settings directory in to your test project directory.

  2. Start VSCode with roocode installed.

  3. Go in to Settings & setup your API keys & endpoints.

  4. Once you get out of roocode settings and look under the chat section, you should see the SPARC Agents:

SPARC Agents
  1. Connect to your mcp-code MCP server by clicking the MCP server icon and Edit Project MCP and adding the following:
{
  "mcpServers": {
    "mcp-code": {
      "command": "<FULL/PATH/TO/mcp-code>",
      "args": [
        "mcp"
      ],
      "alwaysAllow": [
        "find_snippets",
        "find_user",
        "list_usernames",
        "fetch_snippet_by_id",
        "publish-new-code-snippet",
        "wallet_balance",
        "deposit",
        "zap",
        "create_pubkey"
      ],
      "disabled": false
    }
  }
}

Usage

We are fully setup to test our setup. We will do a comparative test.

Open another instance of VSCode with roocode in a vanilla-test-roo project directory that doesn’t have these config files and no MCP server setup.

Now, enter the same prompt for simple app idea in both the projects and see if you have any difference. Choose an app idea for Nostr since we have set this setup for nostr domain expertise.

Example prompt: make a cli app to post GM fiatjaf

LICENSE: GPL-2.0

Tools

No tools

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