Persistent decision memory and contradiction detection for AI coding agents. Enforces architectural consistency across sessions — the agent cannot code until it loads prior decisions. Human resolves conflicts on a dashboard or in chat.
Axis Iliad turns messy codebases into 86 canonical, deterministic artifacts across 18 programs. From raw repos to production-ready AGENTS.md, compliance kits, canvas packs and agent-ready foundations — the authoring layer for the natural language development era.
Integrates the AXLE (Axiom Lean Engine) CLI with AI assistants to provide comprehensive tools for Lean 4 proof engineering. It enables users to validate, repair, and transform Lean theorems through a remote API without requiring a local Lean installation.
Persistent project memory + architectural decisions + pre-execution safety hooks for Claude Code. Local-only storage, multi-repo workspace, automatic knowledge extraction via background auditor.
An MCP server for building Lean4 code, and automated theorem proving
A Model Context Protocol service registry and connector framework that enables seamless integration with multiple services and models through a standardized API interface. Provides an extensible architecture for custom service adapters, API integrations, and model registries.
Provides access to 21+ AI parsers and search engines including Perplexity, ChatGPT, Claude, Gemini, Copilot, Grok, DeepSeek, and web search tools through a unified Redis API interface.
Provides AI assistants with tools to query and explore the Azgaarnoth D\&D world repository, including searching content, retrieving stat blocks, spells, and browsing categories like races, classes, nations, and creatures across ~4,200 markdown files.
A proof-of-concept MCP Server that can query Azure DevOps
Remote Azure DevOps MCP Server
A Model Context Protocol server that provides Azure Java SDK documentation to AI assistants, allowing them to access readme files with introductions, key concepts, and code samples.
Links to samples, tools, and resources for building and integrating Model Context Protocol (MCP) servers on Azure using multiple languages
Enables interaction with AIApp BaaS authentication system through keyword-based document search and automatic generation of framework-specific client code. Supports React, Next.js, Vue, and Vanilla JS with TypeScript integration and automatic project ID injection.
Enables AI assistants to discover, document, and generate React code using the pastel-themed Baby Design UI component library. It provides tools for retrieving design tokens and component specifications to streamline the development of user interfaces.
Enables creation, reading, and manipulation of Excel workbooks without Microsoft Excel installed, supporting formulas, formatting, charts, pivot tables, and data validation through multiple transport protocols.
Executes development tasks by bridging Claude Desktop with Claude Code CLI, enabling automated code generation and task completion in specified working directories.
Persistent, cross-session task management for Claude Code. 24 MCP tools for tasks, projects, dependencies, and docs. 7 skills for planning, standups, and handoffs. Event-sourced storage with per-project isolation.
An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code
A read-only MCP server that enables users to retrieve and interact with Backlog projects, issues, pull requests, and notifications. It provides a secure way to query Backlog data through natural language using tools like Claude Desktop.
Provides comprehensive Backstage framework knowledge and development assistance through an MCP server. Enables plugin development, API reference access, code scaffolding, and community resource discovery for Backstage customization.



