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Provides relational tech guidance and Studio library for community-centered tool building.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-rt-mcp-server" yet — see the docs or source repo.
Using relational tech principles and embedded design, design an AI tool for a neighborhood mutual-aid platform. Explain core features, participation mechanisms, risks, and recommend suitable Studio library components.
A community-focused AI tool design plan with features, collaboration mechanisms, risk considerations, and component recommendations.
Review this product concept: an event coordination assistant for a local volunteer organization. Analyze how it supports community relationships, avoids harm, and provide five improvement suggestions based on relational tech principles.
An evaluation report highlighting strengths, weaknesses, and actionable improvements.
Create a build guide for a development team on using the Studio library and relational tech patterns to prototype a community decision-making tool, including technical steps, design checkpoints, and testing recommendations.
An actionable development guide covering implementation steps, design validation, and testing considerations.
Connect to the mcp API via MCP to extend AI tool capabilities.
Access research workflows, retrieval tools, and knowledge resources for faster analysis.
Auto-generate MCP servers so AI can query data sources without code.
Connect GitHub and local files to share standards, docs, and prompts with AI.
Build, debug, and manage software tasks with natural language across LLMs.
Help AI agents navigate, search, and understand codebases and change history.