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Medical Writer's AI Toolkit — 33 expert prompts for pharma medical writing as MCP tools

An MCP server that runs a quality gate on generated code, executing it in a sandbox and scoring it before returning the code to the user.

This MCP server connects AI assistants (like Claude, ChatGPT, and others that support MCP) to your Meet.bot account, allowing them to schedule meetings on your behalf. Instead of manually copying booking links or checking your calendar, you can simply ask your AI assistant to "schedule a 30-minute meeting with John next week" and it will handle the booking through your MeetBot scheduling pages.

Enables natural language meeting scheduling by searching IMAP emails for meeting requests, finding available calendar slots from YAML configuration, and creating email drafts with proper threading to maintain personal conversation context.

Meeting Summarizer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides access to Google Meet API for retrieving meeting data, transcripts, and recordings. Enables polling for new transcripts, background watcher notifications, and integration with Google Calendar events.

MCP server for MegaLaunch — AI-powered meme token launch service on Solana/pump.fun. Launch tokens with AI art, bundled buys, and Jito speed.

Persistent memory for Claude Code. Automatically indexes every conversation and provides production-grade hybrid search (BM25 + vectors + reranker) via MCP tools. 100% local, zero config, zero API keys, zero invoice.

Enables AI clients like Cursor and Claude Desktop to interact with the MelviChat platform through the Model Context Protocol. It provides a standardized interface for consuming MelviChat API services within AI development tools.

Integrates the Mem0 Memory API with MCP-compatible clients to provide AI agents with persistent, long-term memory capabilities. It enables users to add, search, update, and delete memories to maintain context and personalization across different interactions.

A persistent memory system for Large Language Models (LLMs) that enables continuous learning and knowledge retention across sessions through the Model Context Protocol (MCP).

Generates custom memes with text overlays using pre-configured templates. Supports multiple meme formats with customizable text positioning, fonts, and automatic word wrapping.

Memento is a local-first, LLM-agnostic memory layer. It runs an MCP server over a single SQLite file on your machine, so any MCP-capable AI assistant — Claude Desktop, Claude Code, Cursor, GitHub Copilot, Cline, OpenCode, Aider, a custom agent — can read and write durable, structured memory about you, your work, and your decisions.

Memento is a local-first MCP server that gives AI coding agents durable project memory — facts, decisions, patterns, and architecture notes — so they stop re-learning the same context every session. Runs locally on Node.js 18+ with SQLite storage and optional cloud embeddings; works with Claude Code, Cursor, Windsurf, and any MCP client.

Zettelkasten-based persistent memory for AI coding agents. Auto-saves atomic knowledge cards with \[\[bidirectional links]] after tasks and auto-recalls before new ones. No vector DB — plain markdown files with git sync. Works as Claude Code plugin or MCP server for Cursor, VS Code Copilot, Codex, and Windsurf.

Creates a summary of photos from Apple Photos, generating a personalized year-in-review wrapped experience based on your photo library.

Knowledge graph-based persistent memory system

An MCP server that enables persistent memory, structured thinking sessions, and project-based knowledge management for Claude. It includes specialized coding tools for package discovery and reinvention prevention by validating code against existing libraries and APIs.

iOS leak hunting and performance investigation. Reads .memgraph and .trace files, classifies retain cycles against a 34-pattern catalog with Swift fix templates, bridges to source via SourceKit-LSP. 28 MCP tools, 34 catalog resources, 5 investigation prompts.

An MCP server that provides persistent memory for AI agents by storing session snapshots, factual memories, and conversation summaries. It enables seamless continuity between interactions by allowing agents to restore previous emotional states and recall relevant past experiences.