# mind-mcp

> mind-mcp — modelbound-mind-mcp. Use this tool when you need to interact with a .mind/ folder, enabling MCP agents to read files, search memory, propose changes, and list directory contents, solving problems related to memory access and modification. It takes in directory paths and query inputs, and outputs file contents, search results, and proposed changes. Ideal for use cases requiring seamless integration with MCP agents and .mind/ folder management.

Canonical page: https://skillsregistry.net/skills/modelbound-mind-mcp  
JSON: https://api.skillsregistry.net/v1/skills/modelbound-mind-mcp

## Description

Exposes a .mind/ folder to MCP agents, enabling reading files, searching memory, proposing changes, and listing directory contents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ul3fzacao7)
- **Repository:** <https://github.com/ModelBound/mind-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": "modelbound-mind-mcp"
    }
  }
}
```

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