A server implementation for the Model Context Protocol (MCP) in Ruby.
If you already use VectorMCP, the vectormcp mcp server is the piece that lets your assistant work with it directly. A server implementation for the Model Context Protocol (MCP) in Ruby.
VectorMCP is a Ruby implementation of the Model Context Protocol (MCP) server-side specification. It gives you a framework for exposing tools, resources, prompts, roots, sampling, middleware, and security over the MCP streamable HTTP transport.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by sergiobayona; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against VectorMCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.