# MCP: Multi-Agent Control Point

> Use this tool when you need to route user inquiries to specialized agents or a large language model (LLM) expert, streamlining responses to various questions and topics. The MCP server accepts user questions as input and outputs relevant answers from designated agents or the LLM expert. Ideal for applications requiring multi-agent interaction and easy user interface, such as customer service or information retrieval systems.

Canonical page: https://skillsregistry.net/skills/gomezzz299-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gomezzz299-mcp

## Description

A server that routes user questions to specialized agents (date, location, weather) or an LLM expert, with a simple Streamlit web interface for easy interaction.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j7rm77fk9z)
- **Repository:** <https://github.com/Gomezzz299/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": "gomezzz299-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gomezzz299-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gomezzz299-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