A Beginner’s Guide to using MCP in Windsurf!
AI Summary
Summary of Video Transcript
Overview of Model Context Protocol (mCP)
- Introduction of mCP in Winds Surf Wave 3.
- mCP is a standardized interface for AI agents to communicate with data sources.
Agents and Co-pilots
- Co-pilots: Original chat functionality with access to models and context.
- Agents: Enhanced co-pilots with additional access to tools for file creation, editing, and web/doc searches.
Example: Cascade as an Agent
- Cascade can access various tools and could benefit from additional data sources like Slack, GitHub, Google Drive, etc.
mCP Components
- Client: Uses the information (e.g., Wind Surf).
- Server: Communicates with data sources using web APIs.
- Data Source: Can be local (file system) or remote (e.g., Slack).
Setting Up mCP with Slack Example
- Example of adding a Slack mCP server to Cascade.
- Process involves creating a Slack app and adding a JSON snippet to the client configuration.
- Once configured, Cascade can access Slack channel content to inform coding practices.
Testing mCP Integration
- After setup, the user can instruct Cascade to use coding standards from a Slack channel to refactor code.
- Demonstrates mCP’s ability to enhance code by incorporating external data sources.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions provided in the transcript.