# agentboard

> Use this tool when you need to manage and track tasks for AI agents, visualize workflows, and collaborate on projects. Agentboard solves problems of task organization, assignment, and monitoring by providing a Kanban board interface and markdown file management. It takes markdown files as input and outputs updated task statuses, allowing agents to query and update tasks seamlessly.

Canonical page: https://skillsregistry.net/skills/vladev0-agentboard  
JSON: https://api.skillsregistry.net/v1/skills/vladev0-agentboard

## Description

A local task tracker with Kanban board and MCP server for AI agents, enabling task management via markdown files and providing tools for agents to query and update tasks.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nuoe7v4fz3)
- **Repository:** <https://github.com/Vladev0/agentboard>

## 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": "vladev0-agentboard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vladev0-agentboard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vladev0-agentboard/pull`

---
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