MCP Server
@wilsonsilva
Basic information
About MCP Server
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (
MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is a Ruby gem implementing the open standard MCP protocol. It enables developers to build secure, two-way connections between their data sources and AI-powered tools.
How to use Model Context Protocol (MCP)?
Install the gem by running gem install mcp-ruby. Refer to the YARD documentation for usage details.
Key features of Model Context Protocol (MCP)
—
Use cases of Model Context Protocol (MCP)
—
FAQ from Model Context Protocol (MCP)
—
More Other MCP servers

YOUB
Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Figs, Relationship Expert
Figs O'Sullivan, LMFTCouples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
Awesome Mlops
visengerA curated list of references for MLOps
Hindsight
vectorize-ioHindsight: Agent Memory That Learns

Handl
Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
Comments