universal-mcp-servers
Verified Safeby kmransom56
Overview
A comprehensive collection of 40+ Model Context Protocol (MCP) servers providing powerful capabilities for all major AI development tools, offering integration for IDEs, desktop applications, and command-line interfaces.
Installation
./universal-mcp-installer.sh install-allEnvironment Variables
- OPENAI_API_KEY
- GOOGLE_CLIENT_ID
- GOOGLE_CLIENT_SECRET
- GOOGLE_REDIRECT_URI
- GOOGLE_REFRESH_TOKEN
- FORTIGATE_PRIMARY_HOST
- FORTIGATE_PRIMARY_API_KEY
- FORTIMANAGER_PRIMARY_HOST
- FORTIMANAGER_PRIMARY_USERNAME
- FORTIMANAGER_PRIMARY_PASSWORD
- MERAKI_API_KEY
- AIAUTODASH_BASE_URL
- PLATFORM_IP
- CHAT_COPILOT_API_URL
- MEMORY_FILE_PATH
- DEEPMCP_INTEGRATION_PATH
- DEEPMCP_HUB_URL
Security Notes
The collection includes diverse servers with varying security postures. Positive aspects include robust path validation and symlink resolution in the 'filesystem' server, and explicit SQL injection prevention for read queries in the 'sqlite' server. However, potential risks exist in media processing tools (audio/video/image) if user-controlled input paths are not fully sanitized before being passed to external executables like FFmpeg, which could lead to command injection. The 'ai-mcp-platform' server allows making HTTP requests to internal platform services with user-controlled endpoints and data, posing a significant internal network exploitation risk if exposed to untrusted LLM input without further client-side sanitization. The Fortinet server notes `verify_ssl=False` by default, which is a potential MITM vulnerability if not configured carefully. The 'sqlite' server's write/create table tools lack the strong input validation present in the read query tool.
Similar Servers
awesome-remote-mcp-servers
A curated directory for developers to discover, evaluate, and integrate high-quality, official remote Model Context Protocol (MCP) servers into their AI applications and LLM clients.
awesome-mcp-servers
A comprehensive collection of Model Context Protocol (MCP) servers, standardizing AI application context provision.
awesome-mcp-devtools
This repository serves as a curated list of developer tools, SDKs, libraries, and resources for building and interacting with Model Context Protocol (MCP) servers.
mcp-servers
A curated collection of Model Context Protocol (MCP) server configurations to integrate various developer tools and services with AI agents.