# Valkey MCP Task Management Server

> Use this tool when you need to manage and track tasks within plans, and require a centralized persistence layer for AI agents. It solves problems related to task organization, prioritization, and status tracking, and accepts inputs through multiple transport protocols, including SSE, Streamable HTTP, and STDIO. Outputs include managed tasks with Markdown notes, status updates, and prioritization, making it ideal for complex task management use cases.

Canonical page: https://skillsregistry.net/skills/jbrinkman-valkey-ai-tasks  
JSON: https://api.skillsregistry.net/v1/skills/jbrinkman-valkey-ai-tasks

## Description

Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cw5pipja0n)
- **Repository:** <https://github.com/jbrinkman/valkey-ai-tasks>

## 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": "jbrinkman-valkey-ai-tasks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jbrinkman-valkey-ai-tasks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jbrinkman-valkey-ai-tasks/pull`

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