Jira

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.

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.

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.

Install and configure additional MCP servers dynamically.

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.

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.

Enables dynamic creation of customized MCP servers using the MCP SDK to automate setup and manage tools and resources for specialized AI applications.

Interact with and view tmux session content.

GitHub

Official 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.

Manage and execute tasks efficiently with MCP TaskManager in a queue-based system. This server supports planning by accepting and organizing task lists, and execution by delivering tasks one at a time with feedback on completion. It tracks tasks via unique IDs, ensuring smooth workflow coordination through clear stages: planning, executing, and completing. Designed for integration with MCP clients like Claude Desktop, TaskManager simplifies complex task handling and improves automation by providing structured task queues and real-time updates. Its straightforward action parameters allow easy control over task flow, making it a powerful tool for effective task management.

Azure DevOps

Official

Supercharge your workflow by bringing Azure DevOps commands directly into VS Code. The Azure DevOps MCP Server lets you manage projects, builds, releases, repos, work items, test plans, and more from your editor with simple prompts. Focused, easy-to-use tools offer clear access to Azure DevOps data, making routine tasks faster while keeping complexity out of your way. Perfect for anyone who wants to streamline DevOps work inside their coding environment.

Integrates with JIRA through REST API v2 to provide complete issue management including retrieval, JQL searching, creation, updates, status transitions, and commenting for development teams and project managers.

Integrates with GitLab's API to enable repository management, issue tracking, merge request handling, and file operations for automated development workflows.

Provides structured problem-solving tools for step-by-step analysis, branching thoughts, and adaptive reasoning strategies in complex decision-making processes.

Task management system that visualizes development work as interactive flowcharts, enabling structured breakdown of tickets into minimal PRs and commits with progress tracking capabilities.

Integrates ClickUp task management with AI systems to enable automated task creation, updates, and retrieval for enhanced project workflow efficiency.

Provides structured workflow guidance for disciplined software engineering practices through four specialized methodologies (refactoring, feature creation, test writing, and test-driven development) with phase-specific validation, file operation safety rules, and session state tracking for systematic code development.

Provides task management capabilities across Markdown, JSON, and YAML files with tools for creating, searching, updating, and summarizing tasks while automatically managing work-in-progress status transitions.

Integrates Jira for natural language querying and manipulation of project management data.