What is MCP?
The Model Context Protocol (MCP) is the bridge that lets your AI assistant understand and work with your Python code intelligently.What You Can Do
Get Smart Completions
Get Smart Completions
Your AI suggests code based on your project’s actual types and imports
Explore Your Code
Explore Your Code
Ask about functions, classes, and see your project structure instantly
Navigate Quickly
Navigate Quickly
Fix Errors Faster
Fix Errors Faster
Get real-time diagnostics and explanations for errors
Features Available to You
Code Intelligence Tools
Pylance MCP provides 15+ powerful features:get_completions
Code completion suggestions
get_hover
Hover documentation
get_definition
Go to definition
get_references
Find all references
rename_symbol
Rename refactoring
get_diagnostics
Errors and warnings
format_document
Code formatting
get_signature_help
Function signatures
get_code_actions
Quick fixes
What Information You Get
When you use Pylance MCP, you get rich, detailed information automatically:Your Workspace Context
Your Workspace Context
Pylance understands your project structure, Python version, and virtual environment
Type Information
Type Information
See function signatures, parameter types, and return values
Live Updates
Live Updates
Changes in your code are detected and suggestions update instantly
Tips for Best Results
Work naturally - your IDE and AI handle the technical details
Results are cached automatically for instant repeated access
The system prevents excessive requests to protect your account
If Something Goes Wrong
| Issue | What It Means | What To Do |
|---|---|---|
| File not found | Workspace path incorrect | Check your IDE workspace settings |
| Invalid request | Configuration issue | Review the setup guide for your IDE |
| Rate limit reached | Too many requests | Wait a moment, then try again |
| Internal error | Temporary service issue | Retry in a few seconds |
Most issues resolve by restarting your IDE or checking your configuration.