by superclaude-org
SuperAgent is artificial intelligence development software that orchestrates AI agents for efficient, parallel software
Orchestrates multiple AI coding agents (Codex, Gemini, Continue) in parallel across different project directories with 16 specialized programming personas like backend architects and security engineers.
SuperAgent is a community-built MCP server published by superclaude-org that provides AI assistants with tools and capabilities via the Model Context Protocol. SuperAgent is artificial intelligence development software that orchestrates AI agents for efficient, parallel software It is categorized under ai ml, developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
You can install SuperAgent in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
SuperAgent is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We evaluated SuperAgent against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, SuperAgent benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend SuperAgent for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: SuperAgent surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired SuperAgent into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend SuperAgent for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: SuperAgent is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, SuperAgent benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
SuperAgent is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend SuperAgent for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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SuperAgent is a Model Context Protocol (MCP) server that bridges MCP-compatible clients with the Codex, Gemini, and Continue CLI agents. It lets you fan out multiple CLI tasks in parallel, reuse curated system prompts, and surface results back to your client in a single, structured response.
~/.superagent/agents and can be extended locally.list-agents tool to see which specialized agents are available at runtime.npm install @superclaude-org/superagent
The postinstall script seeds any missing agent definition files under ~/.superagent/agents so they are immediately
Once connected, the client will discover these tools:
| Tool | Purpose | Notable arguments |
|---|---|---|
codex | Run one or many Codex CLI tasks in parallel. | inputs[] (prompt list), concurrency, workingDirectory, agent, extraArgs, timeoutMs |
gemini | Run Gemini CLI tasks with auto-approval enabled. | inputs[], concurrency, workingDirectory, agent, timeoutMs |
continue | Run Continue CLI tasks with headless mode. Requires CONTINUE_CONFIG_PATH environment variable. | inputs[], concurrency, workingDirectory, agent, timeoutMs |
list-agents | List the specialized agents available to all tools. | (none) |
{
"tool": "codex",
"arguments": {
"concurrency": 2,
"inputs": [
{ "prompt": "Run unit tests", "workingDirectory": "/path/to/app" },
{ "prompt": "Summarize latest git changes", "agent": "technical-writer" }
]
}
}
~/.superagent/agents.list-agents tool shows each agent's name and description so you can supply the agent field when invoking codex, gemini, or continue.To use the continue tool, set the CONTINUE_CONFIG_PATH environment variable to point to your Continue config file:
export CONTINUE_CONFIG_PATH="/path/to/.continue/config.yaml"
This can be set in your MCP client configuration's env section.
npm install
npm run build
npm start # runs the compiled server
npm run dev # runs the TypeScript entrypoint with ts-node
Requires Node.js 18 or newer.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.