LLM Code Context

by cyberchitta · File Systems · mcp-server, ai, pypi

Streamlines code context sharing with LLMs by implementing smart file selection, code outlining, and multi-language support for efficient code reviews and documentation generation.

This LLM Context MCP server, developed by restlessronin, streamlines the process of sharing code context with Large Language Models. Built with Python using the Model Context Protocol SDK, it offers features like profile-based customization, code outlining, and integration with both MCP and clipboard for easy switching between tasks such as code review and documentation. The server implements smart file selection using .gitignore patterns and supports multiple programming languages. By abstracting the complexities of context generation, it enables AI systems to easily analyze and work with codebases. This implementation is particularly valuable for developers and teams requiring efficient code-related interactions with LLMs, facilitating use cases such as code reviews, documentation generation, and codebase analysis across various programming languages and project structures.

Source: https://github.com/cyberchitta/llm-context.py

Install

uvx llm-context

Tags: mcp-server, ai, pypi

⭐ 297 GitHub stars · Source: pulsemcp

About File Systems MCP servers and Claude skills

File Systems MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

LLM Code Context is one of hundreds of File Systems entries indexed on Skiln. Browse the full File Systems category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

Related File Systems MCPs and skills

  • Rust Docs by govcraft

    Efficiently loads and processes Rust crate documentation using LlamaIndex's HTML reader, with intelligent file selection logic to handle duplicate files and optional comprehensive parsing modes.

  • MATLAB by matlab

    Run MATLAB using AI applications with the official MCP server from MathWorks, enabling code execution, evaluation, and static analysis

  • Dify by yanxingliu

    Integrates with the Dify API to enable workflow execution and management for automated task processing and decision making across domains.

  • Apollo GraphQL by apollographql

    Enables AI agents to interact with GraphQL APIs by exposing operations as tools, supporting both local schema files and Apollo GraphOS integration with features for introspection and custom scalar mapping.

  • LLMBasedOS by iluxu

    Secure Arch Linux gateway that bridges LLMs with local system capabilities through specialized servers for file system, email, sync, and agent operations without exposing sensitive information

  • Strava by r-huijts

    Integrates with Strava's API to access and analyze fitness data, retrieve athlete profiles, activities, segments, routes, and clubs, with features for exporting routes in GPX/TCX formats for training insights and route planning.

  • Garmin Connect by taxuspt

    Integrates with Garmin Connect to expose fitness and health data, enabling access to activities, detailed workout information, and health metrics like heart rate through natural language interactions.

  • Dot AI (Kubernetes Deployment) by vfarcic

    Automates Kubernetes deployment workflows with intelligent resource discovery, intent-based recommendations, manifest generation, and deployment execution while capturing organizational patterns through vector search for codifying deployment knowledge and providing deployment guidance.

Frequently asked questions

How do I install LLM Code Context?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support LLM Code Context?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is LLM Code Context free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.