# mcp-tap

> Use this tool when you need to automate MCP server setup and management across multiple clients through natural language conversation. It enables AI assistants to discover, install, configure, and manage MCP servers, streamlining tedious manual processes. Ideal for use cases where efficient server management and scalability are crucial, it takes natural language inputs and outputs configured MCP servers.

Canonical page: https://skillsregistry.net/skills/felipestenzel-mcp-tap  
JSON: https://api.skillsregistry.net/v1/skills/felipestenzel-mcp-tap

## Description

Enables AI assistants to discover, install, configure, and manage MCP servers through natural language conversation, automating tedious manual setup across multiple clients.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k32xjpke4y)
- **Repository:** <https://github.com/felipestenzel/mcp-tap>

## 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": "felipestenzel-mcp-tap"
    }
  }
}
```

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