Optimizely DXP

Integrates with Datadog's API to enable incident management, including listing and retrieving incident information for system monitoring and observability workflows.

Provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schemas, monitoring performance, and generating reports with features like connection pooling and transaction management.

Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.

Monitors ClojureScript builds in real-time, providing detailed status information including compilation status, warnings, errors, and file-specific details for verifying build success after code changes.

Integrates with the Coroot observability platform to monitor applications in real-time, analyze logs and distributed traces, manage custom dashboards, configure Prometheus and alerting systems, and perform root cause analysis for comprehensive infrastructure troubleshooting.

Provides a bridge to Kubernetes multi-cluster environments for managing distributed resources through kubectl commands, service account connections, and seamless cross-cluster operations without switching contexts.

Integrates with Datadog monitoring platform to provide access to metrics, logs, dashboards, monitors, and incidents for DevOps and SRE workflows

Lightweight server that captures and manages stdout logs from multiple processes through a named pipe system, maintaining a 100-entry log history and providing robust querying and filtering capabilities for debugging and real-time monitoring.

Integrates with 17TRACK API to provide global package tracking across multiple carriers with fuzzy search for carrier identification and delivery status monitoring for e-commerce and customer service workflows.

Raygun

Official

Monitor crash reports and performance metrics for application stability.

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.

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.

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

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.

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.

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.

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.