# MCP Server POC

> Use this tool when you need to validate and experiment with Model Context Protocol server implementations, solving integration and scalability problems for MCP tools and workflows. It provides a flexible interface for running the server locally or deploying to AWS Lambda, with inputs via STDIO transport and outputs for easy testing and debugging. Use it to streamline MCP development and testing, supporting multiple transport mechanisms and scalable integrations.

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

## Description

Validate and experiment with Model Context Protocol server implementations supporting multiple transport mechanisms. Run the server locally, with STDIO transport, or deploy it to AWS Lambda for scalable MCP integrations. Use the MCP Inspector for easy testing and debugging of MCP tools and workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/cgauge/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": "cgauge-mcp"
    }
  }
}
```

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