MiniMe
This MCP server provides AI assistants with comprehensive memory management and meta-learning capabilities for software development workflows, built by the MiniMe Team using Node.js with PostgreSQL storage and Ollama integration for local LLM processing. The implementation features a complete digital developer twin system with memory storage and retrieval, sequential thinking workflows, task extraction and management, AI-powered insights generation, and real-time analytics through a React-based dashboard UI served on port 9000 alongside the MCP server on port 8000. Built with Docker containerization, embedding-based similarity search, pattern detection across development sessions, and configurable prompt templates for learning pipeline automation, it serves developers wanting persistent AI memory across coding sessions, teams needing project-based knowledge management with automated insight generation, and organizations requiring comprehensive development analytics with local-first AI processing and no external API dependencies.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/manujbawa/minime-mcp
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve MiniMe from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.