Optimizely DXP
Integrates with Optimizely DXP deployment operations through PowerShell to manage environment-to-env...
Log in to the Optimizely DXP Management Portal
- Go to https://portal.optimizely.com.
- Sign in with your administrator or user account.
Navigate to API Key Settings
- In the portal, click on “Settings”.
- Look for and select the “API” section.
Create a New API Key
- Click on the option to create a new API key.
- Assign the desired permissions to the key, according to what your MCP connection will need (such as deployments, log download, etc.).
Copy the Credentials
- After the API key is created, the portal will provide you with:
- Project ID
- Key
- Secret
- Copy these values immediately as they may only be shown once.
- After the API key is created, the portal will provide you with:
Fill In the FastMCP Connection Interface
- In the FastMCP connection setup, click “Install Now”.
- Enter your credentials in the following format, using the values you just copied:
id=YOUR_PROJECT_ID;key=YOUR_KEY;secret=YOUR_SECRET - Fill this string value into the appropriate ENV variable field (typically labeled
PROJECT_NAMEor similar).
Save and Test Connection
- Complete the installation setup in FastMCP.
- Optionally, use the “test connection” function from the MCP interface to verify that the integration is working.
Note: Keep your credentials secure and do not commit them to version control unless encrypted or otherwise protected.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Monitoring
View All →Dual-Cycle Reasoner
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.
More for Automation
View All →Meta Ads
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.
Blender
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.
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.