"Accessing Your Supabase Projects Dashboard" matching MCP servers:

Real TypeScript MCP server for connecting Zynx agents to Supabase through safe, allowlisted tools.

Experimental read-only MCP for Supabase application data: memory_search, memory_get and memory_list_recent under user-bound PostgreSQL RLS. Setup and demo: https://github.com/jryski/Supabase_user_MCP/blob/main/docs/GETTING_STARTED.md . Public preview is POSIX-only and synthetic-only; native Windows, hosted OAuth, one-click installation and writes are not available.

Kollektiv

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Shelfmark is an MCP server that builds a local metadata catalogue of your documents, enabling AI agents to discover, search, and select relevant files without opening or indexing their contents. It provides governed access with ownership and confidentiality controls, ensuring agents only see what they are permitted to.

A Model Context Protocol (MCP) server that provides persistent memory and context management for AI systems through a structured 5-phase optimization workflow.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

A shared long-term memory server for MCP clients, enabling you to persist and retrieve decisions, gotchas, and context across sessions with a web dashboard.

Digital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.

Local MCP server giving AI coding agents (Claude Code, Cursor, VS Code/JetBrains Copilot) a shared, persistent memory of your projects and every bug/issue faced during development. Stateless, plain-file storage (AGENTS.md + issues.jsonl) — no database.

Enables Claude AI to seamlessly interact with Scrivener projects for document management, AI-powered content analysis, and advanced writing assistance.

Privacy-first local memory vault every AI shares over MCP. Markdown + SQLite on your machine; Claude, ChatGPT, Cursor, and any MCP client read and write it live. No cloud, no account, no telemetry

Semantic memory MCP server that gives AI agents a self-writing, priority-based memory with local semantic search and automatic contradiction handling. It persists across sessions and projects, entirely on your machine.

Make it easy for agents to build their context about your projects over time The server provides a set of tools to help agents accumulate knowledge about a project over time in a structured way.

Enables AI agents, including Claude, to interact with the AETERNA persistent world, leaving traces, sharing knowledge, and accessing world state and token economy.

A Model Context Protocol server providing persistent memory, knowledge base, and project summary capabilities with automatic project detection and an interactive dashboard.

A simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.

Enterprise MCP server with memory management, API key control, and system health tools, ready for Claude integration with Supabase.

An MCP server for persistent session context, user preferences, project conventions, and indexed state, with features like full-text search, task management, and a web dashboard.

A structured project memory MCP server that persists plans, builds, reviews, and decisions across AI coding sessions and tools, enabling continuous project management with a dashboard.