remembril-mcp

# Remembril MCP Server MCP (Model Context Protocol) server for [Remembril](https://www.remembril.com) — change impact tracking, autonomous coding loops, Graphify knowledge-graph bridge, and documentation automation for AI coding assistants. **57 tools** across 9 categories, exposed over stdio and streamable HTTP. Three output tiers: MCP Apps widgets (Claude Desktop / ChatGPT), A2UI declarative JSON (Google Gemini), and plain-text markdown (Claude Code CLI and any MCP host). ## What is Remembril? Remembril tracks changes through your entire documentation hierarchy: Requirements, PRFAQ, HLD, LLD, Tests, Compliance, and Runbooks. When something changes, ripple effects propagate automatically. The autonomous coding loop can then implement those changes via Claude Code with an AI review committee as quality gate. The Graphify bridge overlays code-level symbols from [safishamsi/graphify](https://github.com/safishamsi/graphify) into the same knowledge graph, so requirements and actual code live in one connected graph. ## Installation ```bash pip install remembril-mcp # Optional: include the HTTP transport for Claude Desktop / ChatGPT / Gemini pip install 'remembril-mcp[http]' ``` ## Quick Start ### 1. Setup for Claude Code Run the setup script (if you have the repo): ```bash cd mcp-server ./setup-claude-code.sh ``` Or configure manually in `~/.claude/settings.json`: ```json { "mcpServers": { "remembril": { "command": "remembril-mcp", "args": ["serve"], "env": { "REMEMBRIL_URL": "http://localhost:7070", "REMEMBRIL_TOKEN": "your-token-here" } } } } ``` ### 2. Authenticate ```bash remembril-mcp login --url http://localhost:7070 ``` ### 3. Create a project and configure it From Claude Code, just say: > "Create a Remembril project for this repo and set up the coding loop" The AI will call `remembril_project_create` and `remembril_project_configure` with your repo path, test command, etc. Or via CLI: ```bash …