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Why this server?
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references, aiding in code analysis.
Why this server?
Provides shell and file edit capabilities tightly coupled to provide a powerful coding experience. It allows you to invoke CLI commands for compiling, type checking, linting, etc.
Why this server?
A utility toolkit that enhances Claude's code interaction capabilities by providing seamless tools for Java code analysis, manipulation, and testing workflows.
Why this server?
Enables integration of Semgrep in development environments via the MCP protocol, supporting static code analysis, rule management, and scan result operations.
Why this server?
An MCP server that enables LLMs to understand and analyze code structure through function call graphs, allowing AI assistants to explore relationships between functions and analyze dependencies in Python repositories.
Why this server?
AiDD MCP Server provides a secure interface for AI agents to perform file system operations and code analysis, enhancing AI-assisted development workflows across multiple programming languages.
Why this server?
A Model Context Protocol service that wraps Django's migration commands as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.
Why this server?
This project aims to build a Claude Code MCP server and implement its associated tools (explain_code, review_code, fix_code, edit_code, test_code, simulate_command, your_own_query).
Why this server?
A Model Context Protocol server that enables Large Language Models to interact with Git repositories through a robust API, supporting operations like repository initialization, cloning, file staging, committing, and branch management.
Why this server?
Securely run AI-generated code in stateful sandboxes that run forever.