@iddv
Basic information
MCP-Forge is a powerful framework for dynamically generating, managing, and monitoring Model Context Protocol (MCP) servers. Using the official MCP SDK, this tool enables you to create specialized MCP servers on demand through a centralized interface.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-forge-iddv": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
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Mcp Forge (MCP-Forge) is a framework for dynamically generating, managing, and monitoring Model Context Protocol (MCP) servers using the official MCP SDK. It enables you to create specialized MCP servers on demand through a centralized interface, with built-in templating, lifecycle management, auto-scaling, and enterprise-grade security.
Clone the repository, create a Python virtual environment, and install dependencies from requirements.txt. Start the forge server with python forge_mcp_server.py --port 9000, then use python client.py to create, list, start/stop/restart servers, and access logs, stats, or connect to specific servers. For example: python client.py create name="my-server" capabilities=["echo","time"].
Python 3.7+ along with specific dependencies: MCP SDK 1.6.0+, httpx 0.28.0+, anyio 4.0.0+, psutil 5.9.0+, requests 2.31.0+, python-dateutil 2.8.2+, aiosmtplib 2.0.1+ (for email notifications), and optional prometheus-client 0.17.1+ and jsonschema 4.17.3+.
Use the client create command with the `handlers` parameter: `python client.py create name="advanced-server" handlers=["file_reader","http_request"]`. You can also specify server options like `options={"persistence":"sqlite","auth":"basic"}`.
Mcp Forge implements input validation, XSS protection (Content Security Policy), CSRF token-based protection, SQL injection pattern validation, IP-based and global rate limiting, DDoS burst detection and blacklisting, security headers, server hardening, data encryption, intrusion detection, audit logging, and role-based authentication.
Use the client with the `get_logs` command: `python client.py call get_logs source="system" log_level="error" limit=50` or `python client.py call get_logs source="server-id" limit=100`. Logs are aggregated centrally with filtering and searching.
Yes, the README states development is 100% complete with all 40 planned tasks implemented, including the comprehensive security protection mechanisms.
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