Pica

Integrates with PulseMCP to enable querying and retrieval of MCP server and integration data for ecosystem analysis and service recommendations.

Sentry

Official Remote

Streamline Sentry API integration with this remote MCP server middleware prototype. sentry-mcp acts as a bridge between clients and Sentry, supporting flexible transport methods and offering tools like the MCP Inspector for easy service testing. Inspired by Cloudflare’s remote MCP initiative, it helps developers adapt and debug workflows, making Sentry interaction smoother for both cloud and self-hosted environments.

Provides a bridge between MCP clients and GraphQL APIs, enabling introspection of schemas and execution of arbitrary operations with full support for queries, mutations, variables, and authentication.

Himalayas Remote Jobs

Official Remote

Access tens of thousands of remote job listings and company information.

Tatum Blockchain

Official

Integrates with Tatum's blockchain infrastructure to provide multi-chain data access across 130+ networks including Bitcoin, Ethereum, Polygon, and Solana for retrieving NFT metadata, wallet portfolios, transaction histories, token ownership verification, and exchange rates.

Shopify Dev

Official

Integrates with Shopify Dev. Supports various tools to interact with different Shopify APIs.

NBA

Access comprehensive NBA stats and live game data through a Python server using Model Context Protocol. This project delivers real-time scoreboard updates, play-by-play action, player info, career stats, team standings, game logs, and schedules. It bridges applications with NBA’s official API, offering detailed live and historical basketball information. Tools cover everything from active player lists to team stats by name and comprehensive game results. Built with reliable data handling and input validation, it supports efficient access to NBA data for analysis, app development, or fan engagement. This server simplifies working with NBA data in various projects.

Integrates Strapi CMS content into workflows, enabling manipulation of data for content management and querying in Strapi-powered applications.

Integrates with MercadoLibre's e-commerce platform to simplify product and seller data retrieval, enabling functions like price monitoring, inventory management, and market analysis.

Baidu Maps

Official

Integrates with Baidu Maps API for location-based operations including geocoding, route planning, and location search within the Baidu Maps ecosystem.

Install and configure additional MCP servers dynamically.

Integrates with n8n workflow automation platform to enable workflow management, execution monitoring, and task automation through a bridge that connects AI capabilities with n8n's powerful automation tools.

Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.

Streamline Jira Cloud integration with this modular MCP server for AI and automation tools. Easily list scrum boards, track issues, add comments, fetch user info, and search users. Designed for extensibility and easy contribution, it helps automate workflows and connect Jira data to custom agents or bots. The server supports key Jira functionalities like retrieving server details and managing issues, all wrapped in a clean, TypeScript-based structure. Whether enhancing existing tools or building new automation, this project simplifies interacting with Jira Cloud via the Model Context Protocol.

Integrates with n8n workflow automation platform to provide conversational access to 525+ nodes including AI-capable nodes and triggers, enabling natural language workflow creation, validation, and management without requiring direct platform knowledge.

Meta Ads

Remote

Unlock AI-driven insights and control for your Meta ad campaigns across Facebook and Instagram. Meta Ads MCP enables large language models to analyze performance, visualize creatives, and provide strategic recommendations through a unified interface. Manage campaigns, ad sets, and ads with actionable feedback on budget allocation, targeting, and creative improvements. Compatible with any MCP client and supports comprehensive campaign management on all Meta platforms. Leverage automated monitoring, creative optimization, and detailed performance metrics to maximize your advertising impact effortlessly.

Bridges Autodesk Revit with external tools for finding, creating, updating, and deleting model elements including walls, floors, levels, grids, and family instances via TCP socket connection.

Enables building, running, and debugging iOS and macOS applications through Xcode with tools for project discovery, simulator management, app deployment, and UI automation testing.

Netlify

Official

Control your Netlify projects effortlessly using natural language through AI agents with Netlify MCP Server. This server follows the Model Context Protocol to enable code agents to create, deploy, and manage sites, configure access controls, handle environment variables, and more—all via simple prompts. It acts as a bridge between AI clients and Netlify’s API and CLI, empowering seamless automation and resource management. Whether retrieving team data or managing forms and extensions, Netlify MCP Server streamlines your workflow by integrating powerful AI-driven project control in an accessible, standardized way.

Mobile Next

Experience seamless mobile automation across iOS and Android devices with Mobile MCP, a fast, platform-agnostic server. It enables interaction with native apps using accessibility data or screenshot analysis, supporting emulators, simulators, and physical devices. Designed for AI agents and large language models, Mobile MCP automates multi-step workflows, extracts structured screen data, and simplifies complex mobile tasks without needing platform-specific knowledge. Its deterministic, lightweight design ensures reliable UI automation and testing, making it an essential tool for developers and automation engineers aiming to scale mobile app interactions effortlessly and intuitively.