Context7
bygeobio
0Provides up-to-date, version-specific code documentation directly into Large Language Models and AI code editors to improve code generation accuracy.
About
Large Language Models often suffer from outdated training data, leading to inaccurate, hallucinated, or generic code suggestions. Context7 solves this by acting as an MCP (Model Context Protocol) server that fetches current, version-specific documentation and code examples directly from library sources. By integrating 'use context7' into prompts, developers can ensure their AI assistants have the most relevant information, eliminating outdated code examples and non-existent APIs, and delivering working code answers.
Key Features
- Integrates documentation directly into LLM prompts for various AI code editors.
- Prevents hallucinated APIs and outdated code generations.
- Fetches up-to-date, version-specific code documentation from source.
- Supports dynamic documentation retrieval based on library ID and topic.
- Configurable documentation token limits for precise context control.
- 0 GitHub stars
Use Cases
- Learning new libraries or frameworks efficiently by ensuring AI-generated explanations use the latest information.
- Troubleshooting and debugging code by providing real-time, relevant API documentation to LLMs.
- Generating accurate and current code examples with AI coding assistants.
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