# GitHub Copilot Response Time Statistics MCP Server

> Use this tool when you need to measure and compare the response times of GitHub Copilot and other AI models, in order to evaluate their efficiency and optimize performance. It provides statistical analysis and performance comparison tools, accepting AI model response data as input and outputting detailed statistics and performance metrics. Ideal for use cases where AI model responsiveness is critical, such as real-time applications or high-traffic systems.

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

## Description

Enables users to measure, track, and compare response times of GitHub Copilot and other AI models. Provides statistical analysis and performance comparison tools for evaluating AI model efficiency.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dqtannmz6f)
- **Repository:** <https://github.com/fishcoderman/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": "fishcoderman-mcp"
    }
  }
}
```

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