에이전트 강화
게시자가 제공하는 설치 방식입니다. PlugMCP 엔드포인트가 아닙니다.
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행게시자 제공
(from Latin for "lightness") is a premium, high-performance Model Context Protocol (MCP) server written in Rust. It acts as a lightweight, zero-friction bridge that elevates simple LLMs into fully autonomous AI coding agents by supplying advanced filesystem indexers, semantic memory, safe git access, and hierarchical goal-planning graphs.
A high-performance Model Context Protocol (MCP) server written in Rust that extends AI models into autonomous coding agents with semantic memory, built-in Git tools, and codebase indexers
ultra_memory.db) with Ollama vector embedding fallback.show_dependencies):
mod files), Python (imports/packages), and JS/TS (ES6 imports & CommonJS require).find_references):
goal_add, goal_update, goal_list).[ ] Pending, [/] In Progress, and [x] Completed indicators.git_status, git_diff, git_commit, git_branch, git_log) directly to the agent, bypassing arbitrary shell execution risks.Levitas-MCP includes a dynamic installer supporting 20 distinct client environments across 67 configurations on macOS, Windows, and Linux.
Clone the repository and run the installer in your terminal. It will automatically build the Rust workspace in --release mode and register the server for all compatible discovered clients:
On macOS and Linux:
chmod +x install.sh
./install.sh
On Windows:
install.bat
If you want to skip auto-detection and install only for specific agents:
./install.sh --claudecode --aider --cursor
To configure all 20 supported clients simultaneously:
./install.sh --all
The installer automatically captures and forwards current environment credentials to the client configuration. Make sure these are set in your environment before running the installation:
OPENAI_API_KEY: API token for OpenAI models and default fallback.MCT_EMBEDDINGS_API_KEY: Custom endpoint API token for vector memory.OLLAMA_API_BASE: Endpoint for Ollama vector fallback (Defaults to http://localhost:11434).EMBEDDING_API_URL / EMBEDDING_MODEL: Specific models and endpoints for embeddings.Levitas-MCP is licensed under the GNU General Public License v3.0. See the LICENSE file for more details.
A high-performance Model Context Protocol (MCP) server written in Rust that extends AI models into autonomous coding agents with semantic memory, built-in Git tools, and codebase indexers
도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
LevitasMCP은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-10-27. A high-performance Model Context Protocol (MCP) server written in Rust that extends AI models into autonomous coding agents with semantic memory, built-in Git tools, and codebase indexers
