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

Meelion is an independent marketplace for searching and comparing fixed-income assets in Brazil, aiming to provide complete transparency to investors through profitability projections based on the Focus Bulletin and B3 (Brazilian Stock Exchange). It gathers data on assets such as CBDs, LCIs, CRIs, CRAs, Debentures, and similar instruments from the largest financial institutions in Brazil, as well as data on indicators (Selic, CDI, IPCA, Savings), quotes (Gold, Silver, Dollar, Euro, and Bitcoin), and tools such as simulators, calculators, and rankings of the best investments of the day. Meelion is neither a bank nor a brokerage firm: it does not raise funds, execute orders, or replace personalized consulting or tailored recommendations. The role of the website and this MCP (Marketing Platform for Investors) is to organize and facilitate access to public and indicative information on fixed-income assets in order to support investors' decisions with greater context regarding rates, terms, risks, and taxation.

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 searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.

Automatically synchronizes meeting transcripts from Otter.ai to a local SQLite database for easy browsing and management. It enables semantic and keyword-based search across meeting history through integrated MCP tools for Claude and Cursor.

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

A multi-agent system that analyzes meeting transcripts to generate summaries, extract key points, and identify actionable tasks through an easy-to-use web interface.

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.

Meghanmurphy1 MCP

Python implementation of an Elasticsearch MCP server

Turn Claude Code / OpenClaw into your local Lovart. Local ComfyUI, 1,400+ prompt library, multi-direction parallel generation.

An MCP server that allows agents to interact with Meilisearch, a powerful open-source search engine, through its API using natural language.

Enables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.

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 searching and filtering real estate properties in France through the Melo API. Supports comprehensive property searches with filters for price, surface area, location, and property type for both sales and rentals.

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.

MCP protocol server exposing Mem0 AsyncMemory API for AI agent context retention

Enables AI applications to add, search, update, and delete long-term memories using the Mem0 Memory API, allowing agents to persistently remember user preferences, conversation history, and contextual information across sessions.