"Cloud Foundry" matching MCP servers:

MCP server for the Partiri Cloud PaaS platform. Enables AI agents to manage workspaces, projects, services, deployments, and metrics.

A read-only MCP server that bridges AI assistants to SAP Cloud ALM, exposing read APIs through four intent-based tools. It runs locally over stdio or remotely over Streamable HTTP, and can be deployed to SAP BTP Cloud Foundry.

Enables querying and analyzing Genesys Cloud data such as queues, conversations, voice call quality, sentiment, topics, transcripts, and OAuth client usage through natural language.

Enables interaction with Genesys Cloud's Platform API to search queues, analyze conversation volumes, retrieve voice call quality metrics, sentiment analysis, transcripts, and manage OAuth clients through natural language.

Provides natural language access to Cisco CX Cloud APIs for querying hardware inventory, contracts, network elements, security advisories, and end-of-life alerts across customer accounts.

Enables real-time monitoring of F5 Cloud service status, including 148+ service components, active incidents, and scheduled maintenance windows with intelligent caching and dual data source reliability.

MCP server for the Inngest Cloud REST API to inspect functions, runs, and events in production from Claude Code, Cursor, or any MCP client.

Enables interaction with Google Cloud Platform services through gcloud CLI, supporting operations like querying logs, checking Cloud Run status, managing secrets, executing Cloud SQL queries, and monitoring billing information.

Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.

A server that provides access to Alibaba Cloud resources including ECS, VPC, and CloudMonitor through API and OOS implementations, enabling resource management and monitoring via a unified interface.

Enables AI assistants to manage multi-cloud resources (AWS, Azure, GCP) including resource operations, cost analysis, monitoring metrics, and security compliance checks through natural language commands.

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

An MCP server that enables querying and interacting with Google Cloud services including Logging, Spanner, Monitoring, and Cloud Trace through natural language.

Enables large language models to directly access Tencent Cloud Log Service for log search, metric queries, and alarm management without code.

Local MCP server enabling agents to track Xcode Cloud builds and access TestFlight crash reports through the App Store Connect API.

Enables local or HTTP-based MCP interactions with a mock SAP Cloud ALM environment, enforcing read/write capability separation and fail-closed security policies for future SAP Cloud ALM connectivity.

Enables AI assistants to answer contact center questions with read-only access to queue status, queue and agent performance metrics, and conversation timelines. Customer phone numbers, emails and names are masked by default, and a built-in simulated contact center lets it be tried without an account.

Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

MCP server for the air-Q Cloud API, enabling remote retrieval of air quality sensor data and historical analysis through read-only tools like listing devices, fetching readings, and exporting charts or data.