# mcp-me

> Use this tool when you need to transform professional data into a queryable format for Large Language Models (LLMs). It solves problems related to job matching, experience querying, and professional data analysis by converting CVs and projects into MCP tools. The tool takes in professional data as input and outputs a formatted dataset that LLMs can use to list, match job descriptions, and ask about experience.

Canonical page: https://skillsregistry.net/skills/fe-m-bueno-mcp-me  
JSON: https://api.skillsregistry.net/v1/skills/fe-m-bueno-mcp-me

## Description

Transforms professional data (CV, projects) into MCP tools for LLMs to query, list, match job descriptions, and ask about experience.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lvfh01xcm5)
- **Repository:** <https://github.com/fe-m-bueno/mcp-me>

## 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": "fe-m-bueno-mcp-me"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fe-m-bueno-mcp-me` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fe-m-bueno-mcp-me/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