MCP Servers
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14 utility tools for AI agents: QR code generation, PDF compress/merge/split/convert/unlock, cryptographic hashing (MD5/SHA-1/SHA-256/SHA-512), UUID generation, Base64 encode/decode, secure password generation, IP geolocation, DNS records, SSL certificate check, and WHOIS lookup
An advanced Model Context Protocol (MCP) server that provides AI-powered Python testing tools. This project leverages both Google's Gemini AI and BAML (Boundary ML) to intelligently generate comprehensive unit tests and perform sophisticated fuzz testing on Python code.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
