Alimenter votre agent
Installation de l'éditeur. Ce n'est pas un endpoint PlugMCP.
Host a copy with our keys and logs.
Pas encore de version packagée dans le registre. Suivez le README du dépôt.
URL distante ou commande sur votre machine ? Ce qui distingue les deux installations
Exécuter sur PlugMCP
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.
LancerLevitas-MCP (from Latin levitas 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.
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
Outils
Pas encore de liste d'outils. Les serveurs distants en obtiennent une après le premier contrôle d'état.
FAQ
Copiez sur cette page la configuration stdio pour Cursor, Claude Desktop, Claude Code ou VS Code. Elle utilise l'installation de l'éditeur, pas un proxy PlugMCP.
Aucune variable d'environnement requise n'est indiquée sur cette fiche.
LevitasMCP s'exécute en local via stdio.
Dernière vérification : 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
