mcp-compliance-context

Provides up-to-date, version-specific documentation and code examples to Large Language Models (LLMs) and AI coding assistants to improve code generation accuracy and relevance, preventing outdated or hallucinated information.

Provides local-first codebase intelligence, extracting architecture, patterns, and institutional knowledge for AI assistants.

Intelligent code indexing and analysis for Large Language Models, enabling tasks such as code review, refactoring, documentation generation, debugging assistance, and architectural analysis.

Lynkr is an AI orchestration layer that acts as an LLM gateway, routing language model requests to various providers (Ollama, Databricks, OpenAI, etc.). It provides an OpenAI-compatible API and enables AI-driven coding tasks via a rich set of tools and a multi-agent framework, with a strong focus on security, performance, and token efficiency. It allows AI agents to interact with a defined workspace (reading/writing files, executing shell commands, performing Git operations) and leverages long-term memory and agent learning to enhance task execution.