AI Agent for LLM Context
Seamlessly inject relevant code and text project content into your favorite Large Language Model chat interfaces with LLM Context. Empower AI-assisted development using smart file selection, advanced context management, and streamlined workflows tailored for both code repositories and document collections. Enhance productivity with direct LLM integration and optimized clipboard workflows—perfect for developers aiming to maximize the power of modern AI tools.
Smart Project Context Injection
Effortlessly provide your LLM with the most relevant context from your codebase or documentation. LLM Context leverages .gitignore-based file selection to ensure only pertinent files are shared, optimizing both privacy and LLM performance. Integrate directly with Claude Desktop using Model Context Protocol (MCP) or utilize the convenient CLI for clipboard-driven workflows—tailored for both persistent and standard chat interfaces.
- Intelligent File Selection.
- Uses .gitignore patterns for precise and secure context extraction from any project.
- Native LLM Integration.
- Directly integrates with Claude Desktop via MCP protocol for seamless project access.
- Flexible Clipboard Workflow.
- Quickly copy and inject project context into any LLM chat interface with intuitive CLI commands.
- Supports Multiple Project Types.
- Works flawlessly with code repositories and document collections—Markdown, HTML, and more.
Powerful Code Navigation & Customization
Enhance your AI development workflow with advanced code navigation features. Generate smart outlines, extract implementation details, and tailor context templates for every use case. LLM Context offers customizable rules, templates, and prompt options so your LLM always receives the most relevant and actionable information.
- Smart Code Outlines.
- Automatically highlights important definitions and code structure for instant LLM comprehension.
- Targeted Implementation Extraction.
- Paste only the code implementations requested by the LLM—no unnecessary noise.
- Customizable Templates & Prompts.
- Craft custom instructions and context formats tailored to your project's needs.
Robust CLI and Seamless Workflows
Boost productivity with a robust command-line toolkit. Easily initialize projects, select files, generate and inject context, and respond to LLM file requests with a streamlined set of CLI commands. LLM Context is under active development, ensuring up-to-date features and continuous improvements for AI-driven development.
- Comprehensive CLI Toolkit.
- From initialization to context generation, every step is covered with simple, effective commands.
- Streamlined Workflow.
- Quickly move from project setup to sharing context with your LLM—minimizing manual steps.
- Continuous Updates.
- Stay ahead with frequent enhancements and new features driven by active development.
MCP INTEGRATION
Available LLM Context MCP Integration Tools
The following tools are available as part of the LLM Context MCP integration:
- lc-init
Initialize project configuration to set up LLM Context for your repository.
- lc-set-rule
Switch between rule profiles to customize file selection and processing.
- lc-sel-files
Select files for inclusion in the project context using smart patterns.
- lc-sel-outlines
Select files to generate code outlines for high-level structure review.
- lc-context
Generate and copy project context, including code and documentation, for LLMs.
- lc-prompt
Generate project-specific instructions and prompts for LLM interfaces.
- lc-clip-files
Process and extract file contents requested by the LLM for review.
- lc-changed
List files modified since the last context generation to track updates.
- lc-outlines
Generate code outlines for selected files, highlighting important definitions.
- lc-clip-implementations
Extract and provide code implementations requested by LLMs based on outlines.
Supercharge Your LLM Development Workflow
Effortlessly inject relevant code and text from your projects into AI chat interfaces with LLM Context. Streamline your workflow, enhance context for your LLMs, and accelerate your development process with smart file selection and easy integration.
What is LLM Context MCP Server by cyberchitta
LLM Context MCP Server by cyberchitta is a powerful tool designed to streamline code context sharing with Large Language Models (LLMs). Built as a TypeScript-based server, it enables seamless collaboration between specialized LLM agents across different systems. The server facilitates agent registration, asynchronous messaging, and efficient context management, helping developers quickly inject relevant content from code and text projects into LLM chat interfaces. Its features include smart file selection, code outlining, and robust multi-language support, making it invaluable for efficient code reviews, documentation generation, and rapid development cycles. LLM Context MCP Server empowers developers to leverage web-based chat interfaces, improving productivity, transparency, and control over AI-assisted software development workflows.
Capabilities
What we can do with LLM Context MCP Server
LLM Context MCP Server enables a range of advanced development and collaboration workflows by providing streamlined context management between code projects and LLM-powered chat interfaces. Here’s what you can do with this service:
- Efficient Code Context Sharing
- Quickly select and inject relevant files or code snippets into LLM chats for precise, context-aware assistance.
- Automated Code Outlining
- Generate structural outlines of your codebase for better navigation, review, and discussion with AI agents.
- Multi-language Support
- Seamlessly manage and share context across projects written in different programming languages.
- Transparent Collaboration
- Review and control exactly what information is shared with LLMs, ensuring privacy and relevance.
- Enhanced AI Integration
- Integrate with your preferred chat-based AI interfaces, boosting productivity without changing your development environment.
How AI Agents Benefit from LLM Context MCP Server
AI agents benefit from LLM Context MCP Server by gaining rapid access to curated, project-specific context, allowing for more accurate code reviews, documentation, and feature development. The tool’s efficient workflow and transparency features enable agents to operate with up-to-date and relevant information, reducing the risk of miscommunication and enhancing the overall quality of AI-driven development processes.