tenets and meta-prompt-mcp-server
These tools are ecosystem siblings: one appears to be a local-first server designed to provide intelligent context to prompts, while the other transforms any MCP client into a multi-agent system via prompting, suggesting the latter could potentially leverage or integrate with the former's contextual feed.
About tenets
jddunn/tenets
Local-first MCP server for intelligent context that feeds your prompts
This project helps software developers improve how they use AI coding assistants. It automatically finds and prioritizes relevant code files and project guidelines, then injects them into your AI prompts. Developers get more accurate and consistent AI suggestions without manually searching for context.
About meta-prompt-mcp-server
tisu19021997/meta-prompt-mcp-server
Turn any MCP Client into a "multi-agent" system (via prompting)
This helps developers who want to use a large language model (LLM) to tackle complex programming tasks. It takes a problem description and a standard LLM, and transforms it into an AI "team" that breaks down the problem, delegates subtasks to specialized "experts" (like a Python Programmer or Code Reviewer), and produces a more robust solution. The output is a refined, multi-step solution to your coding challenge, making your LLM act like an organized project manager.
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