Search Results for "mcp"

...The canvas runs as a local web service and stores project data directly inside the user's workspace rather than in the plugin repository, making it suitable for project-centric workflows. Cowart enables Codex to interact with the canvas through MCP tools that can read selections, insert generated images, and manage local assets. Users can create AI image holders on the canvas and have Codex automatically generate images that match the selected frame and aspect ratio. It also supports annotation-driven image refinement, allowing users to mark up screenshots and generate clean revised versions while preserving the original artwork. ...

...It is designed to show developers how plugins can be structured, packaged, and extended for Codex-based workflows. Each plugin follows a consistent layout with a manifest and optional supporting surfaces such as skills, commands, hooks, assets, agents, and MCP configuration. The repository is useful for developers who want practical references instead of abstract plugin documentation alone. It demonstrates how different plugin components can work together to add specialized behavior to an AI coding environment. Its main value is helping builders understand how to create reusable Codex extensions with clear organization and predictable project conventions.

claude-code-best-practice is a structured knowledge repository that documents advanced workflows, architectural patterns, and optimization strategies for developers using Claude Code in agentic development environments. Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. The repository emphasizes modularity and progressive disclosure,...

LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined...

Tools Slightly Above the Runtime Moved to: https://github.com/IBM/tsar-mcp QueryTool for IBM i based on TSAR: https://www.ibm.com/support/pages/system/files/inline-files/i-extended-dynamic-sql-pdf_0.pdf