# DevMind MCP

> Use this tool when you need to enhance AI assistants with persistent memory and intelligent information retrieval capabilities. It solves problems of knowledge retention and recall across conversations, enabling more accurate and context-aware responses. The DevMind MCP system takes in conversation data and development activities as inputs, and outputs relevant information and insights to inform AI decision-making.

Canonical page: https://skillsregistry.net/skills/jochenyang-devmind-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jochenyang-devmind-mcp

## Description

Intelligent context-aware memory system for AI assistants that enables persistent memory, automatic development activity tracking, and intelligent information retrieval across conversations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qs10n8xi0d)
- **Repository:** <https://github.com/JochenYang/Devmind-MCP>

## 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": "jochenyang-devmind-mcp"
    }
  }
}
```

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