# ai.taskive/mcp

> ai.taskive/mcp — ai-taskive-mcp. Use this tool when you need to streamline project management and enhance agent productivity. It solves problems related to task organization, sprint planning, risk assessment, and burnout prevention, while also providing knowledge search functionality. With inputs such as project goals and tasks, and outputs including prioritized to-do lists and progress tracking, it is ideal for managing complex projects and workflows.

Canonical page: https://skillsregistry.net/skills/ai-taskive-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-taskive-mcp

## Description

AI-native project management + agent memory: tasks, sprints, risk, burnout, knowledge search.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.taskive%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.taskive.ai/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": "ai-taskive-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-taskive-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-taskive-mcp/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