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Tracks upstream repository changes for Git forks with intelligent priority-based categorization, dep...
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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.
Jira
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.
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.
Netlify
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.
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GitHub
Remote
Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.
Figma Context
Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.
Microsoft Docs
Remote
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Desktop Commander
Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.
Salesforce
Unlock powerful Salesforce org management with the Salesforce DX MCP Server, designed for seamless interaction between large language models and Salesforce environments. This developer preview offers secure, direct access to Salesforce resources without exposing secrets, using TypeScript libraries and granular org allowlisting. Its modular toolsets cover org administration, data queries, user permissions, metadata deployment, and testing. Easily extendable and compatible with various clients like VS Code, Cursor, and more, it empowers developers to perform complex tasks with natural language commands while maintaining robust security. The MCP Server streamlines Salesforce DX workflows through an efficient, secure, and flexible protocol.
Sentry
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.