Results for gem-context-server

A Ruby gem implementing the Model Context Protocol (MCP) server-side specification. Provides a framework for creating MCP servers that expose tools, resources, prompts, and roots to LLM clients with comprehensive security features, structured logging, and production-ready capabilities.

Ruby gem providing RubyGems and Ruby version information via MCP server tools. Integrates with Cursor IDE via Model Context Protocol.

Ruby gem providing ScoutAPM API client and MCP server tools for fetching traces, endpoints, metrics, errors, and insights. Integrates with Cursor IDE via Model Context Protocol.

A Ruby client for the Model Context Protocol (MCP) that seamlessly integrates with RubyLLM. Supports both native full-featured implementation and the official mcp-sdk gem. Connect to MCP servers via SSE, stdio, or HTTP transports, automatically convert MCP tools into RubyLLM-compatible tools, and enable AI models to interact with external data sources and services. Makes using MCP with RubyLLM as easy as possible.

Ruby gem providing a SearXNG HTTP client, CLI (search), and MCP server for web search. Integrates with Cursor IDE via Model Context Protocol.

RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), and document storage (robot_lab-document_store).

Jetty Rails aims to run Ruby on Rails and Merb applications with the Jetty Container, leveraging the power of JRuby and jruby-rack. {Jetty}[http://jetty.mortbay.com/jetty/] is an excellent Java Web Server, being and at the same time extremely lightweight. This makes jetty-rails a good alternative for JRuby on Rails or Merb development and deployment. The project has born from my own needs ({read more}[http://fabiokung.com/2008/05/14/jetty-rails-gem-simple-jruby-on-rails-development-with-servlet-containers/]). I needed to run {JForum}[http://jforum.net] in the same context of my JRuby on Rails application. I had also to integrate HttpSessions (avoiding single sign on) and use ServletContext in-memory cache store.

This gem provides Sidekiq middleware that extends the functionality of Sidekiq's built-in CurrentAttributes to persist and restore ActiveSupport::CurrentAttributes across Sidekiq jobs, with added support for ActiveRecord models. It uses GlobalID for serialization and deserialization of ActiveRecord objects, allowing seamless integration with Rails applications to maintain context between web requests and background jobs. The middleware supports multiple CurrentAttributes classes and handles both client-side and server-side persistence.

pikuri-vectordb gives a pikuri-core agent a +vectordb_search+ tool over a local document corpus — agentic search, the agent decides when to retrieve. Ships a swappable backend (a pure-Ruby +Backend::InMemory+ for teaching and a thin +Backend::Chroma+ HTTP client for persistence), a chunker, an embedder wrapper over +RubyLLM.embed+, and an optional +Reranker::LlamaServer+ that speaks +/v1/rerank+ against a cross-encoder model. Text extraction goes through +Pikuri::FileType.read_as_text+ in pikuri-core, which handles plain text / Markdown / PDF; HTML extraction is a deferred follow-up. Hosts wire the feature via +c.add_extension Pikuri::VectorDb::Extension.new(...)+ inside the +Agent.new+ block — same opt-in shape as +pikuri-tasks+ / +pikuri-skills+. The bundled +Pikuri::VectorDb::LIBRARIAN+ persona is the privilege-separated sub-agent counterpart for hosts that want recall to flow through a child rather than the parent's context. Three model endpoints in the full setup — chat (via ruby_llm), an embedder (via +RubyLLM.embed+), and an optional reranker (HTTP +/v1/rerank+). A single +llama-server+ in router mode serves all three by default, loading each cached GGUF on demand; see the gem's README for details.