Context7 + Cline & RooCode: This MCP Server Makes CLINE 100X MORE EFFECTIVE!

Key Concepts:

• Context 7: An MCP (Model-as-Code Platform) server designed to enhance the reliability and accuracy of AI coders by providing them with up-to-date documentation.
• Upstach: The company that created Context 7.
• AI Coders: AI models used to generate code.
• Outdated Knowledge: A common problem with AI coders, leading to the generation of outdated or incorrect code.
• Documentation Indexing: The process of organizing and categorizing documentation for various libraries and frameworks.
• Token Limit: A constraint on the amount of context (in tokens) that the AI coder can access.
• RAG (Retrieval-Augmented Generation): A technique used to retrieve relevant information from a knowledge base and use it to generate more accurate and context-aware responses.
• MCP Server: A server that provides AI coders with access to tools and resources.
• Library ID: A unique identifier for a specific library or framework.
• CDN (Content Delivery Network): A network of servers that delivers content to users based on their geographic location.
• Hallucination: When an AI model generates incorrect or nonsensical information.
• Klein and Rootcode: IDEs (Integrated Development Environments) that can be configured to use Context 7.
• OpenAI Agents SDK: A software development kit for building AI agents.
• Amazon Nova SDK: A software development kit for Amazon Nova.
• Serarch MCP: Another MCP tool that can be used in conjunction with Context 7.
• Photogenius AI: An AI-powered art generator that is the video's sponsor.

1. Introduction to Context 7

• Context 7 is a new MCP server created by Upstach to improve the reliability of AI coders.
• The primary issue it addresses is the outdated knowledge of AI coders, which leads to incorrect or outdated code generation.
• Example: Claude 3.5 sonnet may not know about Next.js 15, leading to errors in code generation.

2. How Context 7 Works

• Context 7 indexes documentation for various libraries (currently 3570) and categorizes it in a structured way.
• Users can access this documentation through the Context 7 website or the MCP server.
• The system uses a RAG approach, retrieving relevant context based on user queries.
• Users can set a token limit to control the amount of context provided to the AI coder.
• The MCP server has two main tools: "resolve library ID" and "get library docs".
  • "resolve library ID" finds the library ID based on a search term.
  • "get library docs" retrieves the documentation for a given library ID.

3. Limitations and Potential Improvements

• Context 7 cannot summarize documentation into smaller chunks; it only performs vector search and token limiting.
• CDN paths are not always included in the documentation, which can lead to hallucination.
• The presenter recommends adding CDN paths for apps that don't rely on package management.
• New SDKs may take time to be supported (e.g., Amazon Nova SDK was not available during testing).
• Darts docs are not currently supported.

4. Setting Up Context 7 in Klein/Rootcode

• Copy the configuration chunk from the Context 7 GitHub page.
• In Klein, go to the MCP server tab and select "configure MCP server".
• Paste the configuration chunk into the MCP config file.
• Rootcode has a similar setup process, with options for project and global level MCP configuration.
• The presenter sets up rules to limit the token usage (2k for smaller topics, up to 10k when needed).
• The presenter also maintains a file of library IDs to avoid redundant searches.

5. Example Usage with OpenAI Agents SDK

• The presenter asks the AI coder to create a simple agent using the OpenAI Agents SDK.
• The AI coder uses the "resolve library ID" tool to find the library ID.
• It then uses the "get library docs" tool to gather the context of the library.
• The AI coder successfully generates correct code that follows standards.
• The library ID is also updated in the markdown file.

6. Sponsor: Photogenius AI

• Photogenius AI is an AI-powered art generator that allows users to generate images, videos, and 3D models from text prompts.
• It supports various models, including Flux, Stable Diffusion, Google's image gen, and V2 video gen.
• It also offers advanced AI image editing tools, such as AI avatar generator, background removal, and logo generator.
• The presenter provides a coupon code ("king25") for 25% off.

7. Conclusion

• Context 7 is a valuable tool for improving the reliability of AI coders by providing them with up-to-date documentation.
• It works well for mainstream libraries like Next.js and 3JS.
• It can be used in conjunction with other MCP tools like Serarch MCP.
• The presenter encourages viewers to share their thoughts and subscribe to the channel.