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Aykahshi

copilot-mcp-server

by Aykahshi

MCP server that enables AI assistants to interact with Github Copilot cli, leveraging copilot massive token window for large file analysis and codebase understanding

2🍴 0📅 Jan 19, 2026

SKILL.md


name: copilot-mcp-server description: Direct access to GitHub Copilot MCP server tools for AI-powered development assistance license: MIT

Copilot MCP Server

When to use this skill:

  • When you need direct access to Copilot AI models for specific tasks
  • When you want to use Copilot's specialized tools (review, debug, explain, etc.)
  • When you need AI assistance outside of the copilot-flow workflow

Available MCP Tools

Core Tools

ask-copilot

General-purpose AI assistant for coding help, debugging, and architecture design.

mcp__plugin__copilot__ask-copilot(
  prompt="string",           // Required: The question or task for Copilot
  context="string",          // Optional: Additional context
  model="string",            // Optional: Specific model to use (default: claude-sonnet-4.5)
  allowAllTools=true/false   // Optional: Allow Copilot to use all available tools
)

copilot-review

Professional code review with focus on specific areas.

mcp__plugin__copilot__copilot-review(
  code="string",                      // Required: Code to review
  focusAreas=["security", "performance", "maintainability", "best-practices"]  // Optional: Specific areas to focus
)

copilot-explain

Get detailed explanations of code snippets.

mcp__plugin__copilot__copilot-explain(
  code="string",      // Required: Code to explain
  model="string"      // Optional: Model to use
)

copilot-debug

Debug errors in code with context-aware analysis.

mcp__plugin__copilot__copilot-debug(
  code="string",      // Required: Code with error
  error="string",     // Required: Error message
  context="string"    // Optional: Additional context
)

copilot-refactor

Get suggestions for code refactoring and improvements.

mcp__plugin__copilot__copilot-refactor(
  code="string",      // Required: Code to refactor
  goal="string"       // Required: Refactoring goal (e.g., "improve performance")
)

copilot-test-generate

Generate unit tests for existing code.

mcp__plugin__copilot__copilot-test-generate(
  code="string",        // Required: Code to test
  framework="string"    // Optional: Testing framework (e.g., jest, pytest, mocha)
)

copilot-suggest

Get CLI command suggestions for specific tasks.

mcp__plugin__copilot__copilot-suggest(
  task="string",       // Required: Task description
  model="string"       // Optional: Model to use
)

Session Management

copilot-session-start

Start a new conversation session with context tracking.

mcp__plugin__copilot__copilot-session_start()

copilot-session-history

Retrieve conversation history for continuity.

mcp__plugin__copilot__copilot-session_history(
  sessionId="string"   // Optional: Specific session ID
)

Model Selection

Choose from available models based on task complexity:

claude-sonnet-4.5 (default)

  • Best for: System design, architecture decisions, code review, performance optimization
  • Balance of capability and speed

claude-opus-4.5

  • Best for: Complex problems requiring strict execution
  • Highest reasoning capability

claude-haiku-4.5

  • Best for: Quick syntax queries, simple logic questions, API usage
  • Fastest response

gemini-3-pro-preview

  • Best for: Flutter, Angular, GCP, Firebase, Google Cloud development
  • Google ecosystem specialization

gpt-5-mini (unlimited usage)

  • Best for: Concept explanations, general technical questions, documentation queries
  • No usage limits for Pro+ subscribers

gpt-5.2-codex

  • Best for: Complex algorithms, system refactoring, large feature development
  • Advanced code generation

gpt-5.2

  • Best for: Complex reasoning with large context
  • Highest comprehension

Usage Examples

Code Implementation

mcp__plugin__copilot__ask-copilot(
  prompt="Implement a REST API endpoint for user authentication with JWT",
  model="claude-sonnet-4.5",
  allowAllTools=true
)

Security Review

mcp__plugin__copilot__copilot_review(
  code=`function login(username, password) {
    const query = \`SELECT * FROM users WHERE username = '\${username}' AND password = '\${password}'\`;
    return db.query(query);
  }`,
  focusAreas=["security", "sql-injection", "authentication"]
)

Error Debugging

mcp__plugin__copilot__copilot_debug(
  code="const result = await fetchData().json;",
  error="TypeError: fetchData(...).json is not a function",
  context="Trying to parse JSON response from API"
)

Test Generation

mcp__plugin__copilot__copilot_test_generate(
  code=`function isPrime(n) {
    if (n <= 1) return false;
    for (let i = 2; i * i <= n; i++) {
      if (n % i === 0) return false;
    }
    return true;
  }`,
  framework="jest"
)

Best Practices

Do

  • Be specific in your prompts
  • Provide context when available
  • Choose appropriate model for task complexity
  • Use session management for related queries
  • Focus review on specific areas

Don't

  • Use overly broad prompts like "write code"
  • Overuse powerful models for simple tasks
  • Pass empty parameters
  • Ask for review on all areas without focus
  • Mix unrelated queries in one session

Error Handling

If MCP server is unavailable:

  1. Check GitHub Copilot CLI authentication
  2. Verify MCP server configuration
  3. Restart Claude Code or your MCP client

Integration Notes

  • This skill provides direct tool access
  • For structured workflow, use copilot-flow-integration skill
  • All tools require active GitHub Copilot subscription
  • Usage counts towards Copilot API limits

Keywords

copilot, mcp, ai, code review, debugging, testing, refactoring, github copilot, claude, gpt, gemini

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

💬

Reviews coming soon