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-5.1-codex / gpt-5.1-codex-max
- 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:
- Check GitHub Copilot CLI authentication
- Verify MCP server configuration
- 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