A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.
The main features of tumf/mcp-text-editor are: Development & Execution.
Open-source alternatives to tumf/mcp-text-editor include: admica/filescopemcp — Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and… askbudi/roundtable — Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through… automata-labs-team/code-sandbox-mcp — An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server… biegehydra/bifrostmcp — VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs. e2b-dev/mcp-server — Giving Claude ability to run code with E2B via MCP (Model Context Protocol). 21st-dev/magic-mcp — Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions…
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages such as Python, C, C++, Rust, Zig, Lua.
Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface
An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code while maintaining security through containerization.
Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions into functional user interface code. It acts as an LLM design orchestrator, producing responsive web elements and layouts anchored on utility-first CSS styling patterns. The system features a side-by-side variation engine that generates multiple stylistic interpretations of a single prompt for comparative selection. It incorporates SVG-based asset integration for branding and iconography and utilizes template-based assembly to combine pre-defined style patterns with user-speci