# AGENTS.md

> Use this tool when you need to automate tasks and manage projects with AI-powered assistance, solving problems such as manual task execution and disorganized workflows. It provides a web-based interface with user authentication, version control, and SQLite storage, accepting inputs like project configurations and task assignments, and outputting automated task executions and project updates. Ideal for teams and individuals requiring collaborative AI-assisted project management with persistent state management and automated task delegation.

Canonical page: https://skillsregistry.net/skills/benhaotang-agents-md  
JSON: https://api.skillsregistry.net/v1/skills/benhaotang-agents-md

## Description

This MCP server provides project management and AI-powered task automation through a web-based interface with SQLite storage, user authentication, and version control capabilities. Built by Benhao Tang with Express.js and Next.js, it integrates multiple AI providers (OpenAI, Google Gemini, Groq) and MCP tool servers to enable automated task execution through 'subagents' that can perform web searches, code execution, and file operations within project contexts. The implementation features hierarchical task management with drag-and-drop Kanban boards, markdown-based agent configuration, scratchpad systems for iterative work, project sharing with granular permissions, and Docker deployment support. Designed for teams and individuals who need AI-assisted project workflows with persistent state management, collaborative editing, and automated task delegation to specialized AI agents with access to external tools and data sources.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/benhaotang-agents-md)
- **Repository:** <https://github.com/benhaotang/mcp-http-agent-md>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "benhaotang-agents-md"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benhaotang-agents-md` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benhaotang-agents-md/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt