overture
by jander99
Overview
Overture is a configuration orchestrator and documentation generator for AI-assisted development tools like Claude Code and GitHub Copilot. It centralizes MCP (Model Context Protocol) server configurations, manages plugin lifecycles, and generates enhanced documentation (e.g., CLAUDE.md) that teaches AI assistants how to use configured tools and workflows together across multiple platforms.
Installation
node dist/apps/cli/main.jsEnvironment Variables
- DEBUG
- HOME
- XDG_CONFIG_HOME
- XDG_DATA_HOME
- APPDATA
- USERPROFILE
- GITHUB_TOKEN
- MY_API_KEY
- DB_CONNECTION_STRING
- API_KEY
Security Notes
The tool's core functionality involves reading and writing configuration files (JSON, YAML) and executing arbitrary commands based on its configuration. While this is justified by its purpose as a configuration orchestrator, internal code reviews highlight specific security concerns: (1) Potential path traversal vulnerability in backup filename generation, where an unsanitized filename could be crafted to overwrite arbitrary files. (2) Direct environment variable expansion using `process.env[varName]` without robust sanitization or an allowlist, which could lead to information disclosure or command influence if a malicious configuration specifies variable names an attacker controls. (3) Reliance on external binaries (`claude`, `npm`, `uvx`, `docker`) whose execution is delegated but also driven by the configuration, making the overall security dependent on the integrity of the Overture configuration file and the invoked external tools. The `execSync` is mostly confined to test environments, but `execa` is used for external process execution, which generally handles arguments more safely, but the `command` itself in configurations could still be a vector.
Similar Servers
mcp-server
Provides a Model Context Protocol (MCP) server for AI agents to search and retrieve curated documentation for the Strands Agents framework, facilitating AI coding assistance.
mcp-servers
Provides a curated collection of Model Context Protocol (MCP) server configurations to enable AI agents to interact with various developer tools and services.
mmcp
Manages Model Context Protocol (MCP) server definitions in a central configuration and applies them to various AI agent tools.
llms
A centralized configuration and documentation management system for LLMs, providing tools for building skills, commands, agents, prompts, and managing MCP servers across multiple LLM providers.