"Odin" matching MCP servers:

Provides a specification-driven workflow layer for AI-assisted coding, enabling agents to follow an explicit 11-phase feature workflow with checkpoints, artifacts, and quality gates.

A distributed MCP server framework enabling scalable task execution across multiple nodes with streamable HTTP transport, integrated authentication, and real-time streaming via the Asgard infrastructure.

rhizome-mcp is a local-first MCP server for task tracking and coordination of autonomous AI coding agents, providing crash-safe issue claiming, durable project memory, and dependency graphs using SQLite. It enables agents from different MCP-compatible clients to share a consistent view of project work with no accounts, Docker, or network dependency.

Provides integration with GitLab repositories to manage files, issues, merge requests, and branches through the Model Context Protocol. This implementation includes specific fixes for schema validation issues found in standard GitLab MCP servers.