An MCP server for tracking issues across multiple AI agent sessions, enabling agents to file, claim, complete, review, and close issues with a web UI for monitoring.
MCP server for managing Markdown-Driven Task Management (MDTM) files with task, parent task, environment, and workflow management, enabling structured development workflows.
A local-first MCP server for retrieving a small evidence set and recording reviewed conclusions, policy-gated and redacted without giving an agent general filesystem access.
A configurable MCP server that enables creating custom analysis tools through JSON configuration, with built-in frameworks for error handling, self-evaluation, security guardrails, and output artifacts.
An MCP server that establishes feedback-oriented development workflows with a Web UI and desktop app, allowing users to provide interactive feedback to AI models through prompts, images, and session tracking.