# Personal Info MCP

> Use this tool when you need to securely store and retrieve personal information, such as name, address, and email, to automate data entry and access your professional details. It solves the problem of repeated data entry and provides a secure interface for inputting and outputting personal information fields. Ideal for use cases where personal data needs to be easily accessed and updated, such as filling out forms or contacting users.

Canonical page: https://skillsregistry.net/skills/kentaniguchi-r-personal-info-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kentaniguchi-r-personal-info-mcp

## Description

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pd9mxp0efu)
- **Repository:** <https://github.com/KenTaniguchi-R/personal-info-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": "kentaniguchi-r-personal-info-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kentaniguchi-r-personal-info-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kentaniguchi-r-personal-info-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