# Doriku

> Use this tool when you need to streamline multi-agent collaboration and task management, leveraging 52+ MCP tools to boost productivity and efficiency. Doriku solves problems of disorganized workflows, inadequate communication, and limited scalability in collaborative environments. It accepts various task inputs and outputs actionable insights, making it ideal for use cases requiring seamless coordination among multiple agents or teams.

Canonical page: https://skillsregistry.net/skills/io-doriku-task-manager  
JSON: https://api.skillsregistry.net/v1/skills/io-doriku-task-manager

## Description

AI-native task & orchestration platform with 70+ MCP tools for multi-IDE coding agents.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.doriku%2Ftask-manager)
- **Repository:** <https://github.com/doriku-io/doriku-io>

## Use it

MCP endpoint published by the skill: `https://api.doriku.io/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": "io-doriku-task-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-doriku-task-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-doriku-task-manager/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