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Enables creation and management of Framer plugins with web3 capabilities like wallet connections, contract interactions, and NFT displays.

Enables AI assistants to read, analyze, create, and update Hevy workout data, including workouts, routines, exercises, and body measurements, through the Model Context Protocol.

An MCP server that brings an Angular design system built on Storybook into AI tools like Claude and Cursor, providing real-time access to component metadata, APIs, and documentation.

This MCP implementation enables AI assistants to interact with iMessage on macOS, providing both read and send capabilities. Developed as an open-source project, it bridges the gap between large language models and Apple's messaging platform. The implementation uses TypeScript and leverages the @modelcontextprotocol/sdk for MCP compatibility, along with SQLite for message storage. It's designed for developers and researchers working on conversational AI applications, allowing them to integrate iMessage functionality into their projects. This tool opens up possibilities for automated messaging, chatbots that can operate through iMessage, and AI-assisted communication analysis on the Mac platform.

Enables users to extract and review Claude's plan reasoning in Claude Code by reading plan files and providing a structured template for decisions, tradeoffs, and assumptions.

Hosted MCP server that gives AI agents read and write access to your full marketing & ecommerce stack — Google Analytics, Search Console, Google & Meta Ads, Shopify, WooCommerce, Shopware, Slack and LinkedIn. 100+ tools across 10 connectors. BYOK, OAuth 2.1.

MCP server for accessing Moldova Government Procurement (MTender) data, allowing AI agents to query tender information without an API key.

Enables AI assistants to manage Featureflow feature flags, including creating and updating features, controlling feature states across environments, and managing projects, environments, and targeting rules through natural language.

The Weather MCP server provides AI assistants with access to National Weather Service data through two main tools: retrieving current weather alerts by state code and obtaining detailed weather forecasts for specific locations using latitude and longitude coordinates. Built with Python using the FastMCP framework and httpx for API requests, it formats weather data into human-readable responses with proper error handling for failed requests. This implementation is particularly valuable for workflows requiring up-to-date weather information within AI assistant conversations, allowing users to check for severe weather alerts or plan activities based on upcoming forecasts without leaving their conversation interface.

WHO IRIS — the Institutional Repository for Information Sharing.

Read-only MCP server that enables AI agents to consult Receita Federal SICALC and generate DARF tax payments from official sources using prepaid credits.

Perplexity MCP Server provides a bridge between AI assistants and the Perplexity API, enabling Claude and other MCP-compatible tools to access real-time web search and specialized reasoning capabilities. Built by Alcova AI, this Go implementation exposes two primary tools: perplexity_ask for retrieving up-to-date information using Perplexity's Sonar Pro model, and perplexity_reason for complex problem-solving tasks using Sonar Reasoning Pro. The server supports seamless integration with Claude Code, Claude Desktop, and Cursor through the stdio protocol, allowing AI assistants to access current information and perform reasoning tasks without leaving their interface, making it particularly valuable for workflows requiring real-time data or specialized reasoning capabilities.

JMA (Japan Meteorological Agency) MCP — keyless weather forecasts, warnings,

Enables AI assistants to interact with Odoo ERP systems through XML-RPC communication. Provides access to Odoo models, records, methods, and data structures for comprehensive ERP integration.

Enables Gmail operations via IMAP/SMTP with app password authentication, including sending, reading, searching, and managing labels.

Enables AI assistants to query SQL Server databases and retrieve schema information securely through the Model Context Protocol.

Guides agents through opening GoHighLevel (GHL)

Enables calling 120+ AI models and reading live web pages (scrape, crawl, structured extract) from any MCP client using one API key.

IP geolocation via MCP. City, region, country, org, timezone. Free tier.