# Use Copilot MCP Tools Directly

Developers often need focused AI help without switching workflows or writing custom MCP calls. This skill documents direct Copilot MCP tools for review, debugging, explanations, refactoring, tests, and general coding help.

## Install

```bash
npx skillstore add aykahshi/copilot-mcp-server
```

## Metadata

- - Slug: aykahshi-copilot-mcp-server
- - Version: 1.0.0
- - Author: Aykahshi
- - GitHub username: Aykahshi
- - License: MIT
- - Repository: https://github.com/Aykahshi/copilot-mcp-tool/tree/main/plugins/copilot-flow/skills/copilot-mcp-server
- - Ref: main
- - Supported tools: Claude, Codex, Claude Code
- - Risk level: medium
- - Risk factors: network, external\_commands
- - Quality score: 73
- - Public page: https://skillstore.pages.dev/skills/aykahshi-copilot-mcp-server
- - Manifest: https://skillstore.pages.dev/api/skills/aykahshi-copilot-mcp-server/manifest

## Capabilities

- Ask Copilot coding questions with optional context and model selection.
- Request focused code reviews for security, performance, maintainability, and best practices.
- Explain code snippets using Copilot MCP tools.
- Debug code by sending the code, error message, and optional context.
- Generate unit test suggestions for a chosen testing framework.
- Start and inspect Copilot conversation sessions for related work.

## Use Cases

- Review a Pull Request: Use focused Copilot review prompts to check a change for security, performance, and maintainability concerns.
- Debug an Error Quickly: Send a failing snippet, error text, and context to receive likely causes and repair guidance.
- Generate Test Coverage Ideas: Ask Copilot to propose unit tests for existing functions in a selected framework.

## Prompt Templates

### Ask a Coding Question

```
Use Copilot to answer this coding question. Include the relevant context and ask for a concise explanation with practical next steps.
```

### Explain Existing Code

```
Use the Copilot explain tool on this code. Summarize what it does, list important inputs and outputs, and identify risky assumptions.
```

### Review a Change

```
Use the Copilot review tool on this change. Focus on security, performance, maintainability, and missed edge cases.
```

### Plan a Refactor and Tests

```
Use Copilot to propose a refactor plan for this code, then generate test cases that would verify the new behavior.
```

## Limitations

- Requires an active GitHub Copilot subscription and configured MCP server.
- Usage may count against Copilot API or subscription limits.
- The skill is documentation only; it does not include an MCP server implementation.
- Sensitive code or secrets should not be sent unless allowed by policy.

## Best Practices

- Provide the smallest useful code excerpt and explain the goal clearly.
- Choose the model based on task complexity and expected response depth.
- Disable broad tool access unless the MCP server configuration is trusted.

## Anti Patterns

- Do not send secrets, tokens, or regulated data in prompts or code snippets.
- Do not enable broad tool access for routine explanations or simple reviews.
- Do not mix unrelated tasks in one Copilot session when traceability matters.

## Security Audit

- - Safe to publish: true
- - Audited at: 2026-06-28T12:52:58.851\+00:00
- - Summary: The static Ruby/shell backtick, weak cryptography, and network reconnaissance findings are false positives from Markdown examples and ordinary descriptive text. The skill has legitimate elevated risk because it sends user prompts or code to GitHub Copilot MCP tools and documents broad delegated tool access with allowAllTools.

## Stats

- - Views: 259
- - Downloads: 8
- - Favorites: 0
- - Popularity score: 0