An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.
Integrates the Qwen3-Coder 30B parameter model with Claude Code through 5 specialized tools for code review, explanation, generation, bug fixing, and optimization. Optimized for 64GB RAM systems with advanced performance settings including flash attention and parallel processing.
A utility toolkit that enhances Claude's code interaction capabilities by providing seamless tools for Java code analysis, manipulation, and testing workflows.
An MCP server that implements a structured workflow for LLM-based coding, guiding development through feature clarification, documentation generation, phased implementation, and progress tracking.
Implements a structured development workflow for LLM-based coding with feature clarification, PRD generation, phased development, and task tracking. Guides LLMs through organized feature development from requirements gathering to completion with document storage and progress monitoring.
Routes AI tasks to appropriate local LLM models (quick, coder, MoE, thinking) with automatic model selection, multi-backend support (Ollama, llama.cpp, Gemini), and parallel processing capabilities.
An intelligent code version management system based on the MCP protocol, providing AI-enhanced code snapshots, project versioning, and smart change detection for AI-assisted programming.
A semantic context compiler MCP server that provides stratified L0-L3 code context with exact-source escalation, enabling project analysis, symbol contracts, exact source retrieval, and a patching workflow with sandbox validation.
The GEO check every vibe coder runs before they launch. MCP server that lints, auto-fixes, and tracks how AI agents discover any product. 6 tools — geo_check, geo_fix, geo_track_init, geo_prompts, geo_status, geo_corpus_query.
Connects AI agents like Claude, Cursor, and Cline to the CoderLegion developer community platform, enabling content management and workflow automation through the Model Context Protocol.
A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.
Enables LLMs to retrieve, analyze, and programmatically implement CodeRabbit AI code review suggestions on GitHub pull requests, with automated workflows for processing and resolving review comments.
Provides access to multiple AI models (Grok, Gemini 2.5 Pro, Kimi, Qwen3 Coder, GLM-4.5) through OpenRouter, enabling users to query different specialized models for reasoning, coding, translation, and general tasks with automatic fallback to free variants.
Captures an agentic asset's foundational record as a single asset-record.json, including creation facts and author-only confirmed metadata. Provides MCP tools to record, read, and finalize provenance during asset development.