# Agentda

> com.myagentda/agentda — com-myagentda-agentda. Use this tool when you need to manage tasks natively through an AI agent interface, delegating tasks to anyone via email. It solves problems of task assignment and tracking, streamlining workflow and communication. Ideal for use cases requiring seamless task management and collaboration, with inputs including task assignments and outputs including task status updates.

Canonical page: https://skillsregistry.net/skills/com-myagentda-agentda  
JSON: https://api.skillsregistry.net/v1/skills/com-myagentda-agentda

## Description

Agent-native task management: your AI agent is the interface. Delegate to anyone by email.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.myagentda%2Fagentda)

## Use it

MCP endpoint published by the skill: `https://myagentda.com/api/mcp`

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": "com-myagentda-agentda"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-myagentda-agentda` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-myagentda-agentda/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