What transport does VectorMCP use?
VectorMCP ships with streamable HTTP as its built‑in transport, supporting `POST /mcp` for JSON‑RPC messages, `GET /mcp` for SSE streams, and `DELETE /mcp` for session termination.
@sergiobayona
基本信息
A server implementation for the Model Context Protocol (MCP) in Ruby.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
VectorMCP is a Ruby implementation of the Model Context Protocol (MCP) server-side specification. It provides a framework for exposing tools, resources, prompts, roots, sampling, middleware, and security over the MCP streamable HTTP transport. It is designed for Ruby developers building MCP‑compliant servers, especially those using Rack or Rails.
Install the gem (gem install vector_mcp), require it in Ruby, then create a VectorMCP::Server instance, register tools (either class‑based via VectorMCP::Tool or block‑based via register_tool), and call server.run(port: 8080). The server can also be mounted inside a Rack app or Rails routes using server.rack_app.
rack_appVectorMCP ships with streamable HTTP as its built‑in transport, supporting `POST /mcp` for JSON‑RPC messages, `GET /mcp` for SSE streams, and `DELETE /mcp` for session termination.
Yes. Pass a `resource_metadata_url:` to `enable_authentication!` to enable RFC 9728 discovery. Unauthenticated requests return a `401` with a `WWW‑Authenticate` header pointing to the metadata document.
Ruby 3.2 or higher.
Yes. VectorMCP can be mounted in Rails routes via `mount MCP_APP => "/mcp"`. It also includes `VectorMCP::Rails::Tool` for ActiveRecord‑backed tools.
The `VectorMCP::Middleware::Anonymizer` replaces sensitive string values with stable opaque tokens on outbound tool results and restores them on inbound tool arguments, keeping the original data hidden from the LLM.

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

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.

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
评论