STeLA MCP

Name: STeLA MCP
Author: Sachin-Bhat

@Sachin-Bhat

リポジトリ

STeLA MCP について

MCP server for local system operations

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

ランタイム

python

トランスポート

stdio

公開者

Sachin-Bhat

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "stela-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@Sachin-Bhat/stela-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is STeLA MCP?

STeLA (Simple Terminal Language Assistant) MCP is a lightweight Python implementation of a Model Context Protocol server that provides secure access to local machine commands and file operations via a standardized API interface. It acts as a bridge between applications and the local system, implementing the MCP architecture.

How to use STeLA MCP?

Install via Smithery (npx -y @smithery/cli install @Sachin-Bhat/stela-mcp --client claude) or manually by cloning the repository, creating a virtual environment, and installing dependencies. Configure environment variables for directory access (ALLOWED_DIRS, ALLOWED_DIR), command security (ALLOWED_COMMANDS, ALLOWED_FLAGS, MAX_COMMAND_LENGTH, COMMAND_TIMEOUT), then start the server with uv run python -m src.stella_mcp.server. Use with Claude Desktop by adding it as an MCP tool.

Key features of STeLA MCP

Command execution with robust error handling
File operations: read, write, edit, move, search
Recursive directory tree visualization
Multi‑directory support for file operations
Security‑first design with strict path validation
Strong type checking with Pydantic models

Use cases of STeLA MCP

Execute shell commands from an AI assistant on a local machine
Read, write, and edit files within allowed directories
Search files and generate directory trees for project navigation
Integrate with Claude Desktop for secure local system access
Manage file operations programmatically via a standardized API

FAQ from STeLA MCP

What are the runtime requirements for STeLA MCP?

Python 3.10–3.12, pip or uv package manager, and Pydantic v2.x.

How does STeLA MCP ensure security?

It enforces allowed directories (ALLOWED_DIRS), allowed commands (ALLOWED_COMMANDS), allowed flags (ALLOWED_FLAGS), command length limits, timeouts, and performs strict path validation including symlink and parent directory checks.