Provides AI agents full access to the Harness.io platform through 10 consolidated tools and 137 resource types, enabling management of CI/CD, GitOps, Feature Flags, cost data, and more.
MCP server for monitoring and managing SAP Cloud Integration (CPI) tenants via OData APIs, supporting multi-tenant configurations and extensive tools for message logs, integration flows, deployments, and admin operations.
A comprehensive MCP server for infrastructure operations with 92 tools across 13 categories, covering system monitoring, networking, containers, multi-cloud management, databases, CI/CD, IaC, security, and remote SSH fleet management.
Enables monitoring and management of SAP Cloud Integration (CPI) through its OData APIs, covering message processing logs, integration packages, deployment, security material, and more.
A server based on MCP protocol that allows large language models to directly access Tencent Cloud Object Storage (COS) and Cloud Infinite (CI) services without coding, enabling file storage, retrieval, and processing operations.
An MCP server that exposes Oracle Cloud Infrastructure (OCI) control plane to LLM clients, enabling management of compute, networking, storage, databases, and more through natural language.
Enables interaction with Oracle Cloud Infrastructure services through a unified interface. Supports comprehensive OCI resource management including compute instances, storage, networking, databases, and monitoring through natural language commands in VS Code.
Enables deploying and managing infrastructure via natural language, including project/domain management, compute nodes, image deployment, and CI/CD integration.
Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.
Publish websites from Claude, the terminal, or CI — drop a folder, get a link that doesn't expire. Wraps the nippy.host publish pipeline: create sites, update in place, read files, passwords, SEO settings, and visitor analytics.
Enables management of GitHub workflows, issue templates, and repository configuration for the Frontal MCP Server project through CI/CD pipelines and security automation.
Enables AI-powered image and video analysis using Google Gemini and Vertex AI models. Supports analyzing single or multiple images, detecting objects with bounding boxes, and video content analysis through natural language prompts.
Enables comprehensive integration with Azure AI services including OpenAI, Cognitive Services, Computer Vision, and Face API through a mission-critical MCP server. Provides enterprise-grade reliability with high availability, observability, chaos engineering, and secure multi-region deployment capabilities.