"Oracle Fusion Cloud API Documentation and Resources" matching MCP servers:

An MCP server that provides access to Google Cloud Monitoring API, enabling interaction with cloud resources monitoring data through natural language commands.

MCP server for Oracle Database enabling AI assistants to explore schemas, run queries, write data, and monitor sessions via natural language. Features read-only mode by default and uses Oracle Thin mode for zero-install connectivity.

Enables AI assistants and MCP clients to analyze offline Oracle AWR/ASH reports in HTML or text across Oracle 10g–23ai, including single-instance and RAC global reports, returning report type, version, active sessions, load profile, top waits and SQL with version-aware tuning advice plus a prioritized top-3 summary, all locally without an Oracle client or database connection.

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

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 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.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

A hosted Model Context Protocol server that lets AI agents triage review queues, investigate authors, tune policies and wordlists, respond to incidents, configure projects and webhooks, and report on moderation activity through a Moderation API account.

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.

Provides real-time LNP/WLNP (Wireless Local Number Portability) and LRN auditing. Features specialized congestion logic for 2026 global events. Essential for routing agents managing wireless and wireline transit.

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 agents to check live operational status, incidents, maintenance windows, and outage/reliability summaries for Iranian cloud providers, and to read and compare public prices for plans and resource configurations. It is read-only, requires no API key, and returns compact JSON for use in Claude, Cursor, Copilot, and other MCP clients.

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.

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.

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

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.

Bridges with an installed API monitoring application to enable launching and status checks, live background capture, process attach, filter-tree inspection, GUI actions, and opening, validating, decoding, searching, inspecting, exporting, and comparing saved captures and related metadata.

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.

Gives MCP clients tools to inspect RenderDoc .rdc captures — listing and opening frames, querying draws, pipelines, shaders, bindings, textures, buffers and pixel history, reading GPU performance counters, and exporting buffer, texture, mesh, draw-call and Unity import packages. Multiple clients can share one local GUI or headless playback backend on Windows.

Enables monitoring and configuration inspection of connector subaccounts, virtual-to-internal mappings, allowed resources, tunnel status, certificates, and performance, with optional explicitly enabled create, update, and delete tools.

Per-customer API usage analytics and billing exports for small B2B APIs. Agents can sign up, get ingest snippets and read usage by customer, endpoint and plan.

Dependency health checker for AI agent skills. Analyzes external endpoints for uptime, SSL validity, domain reputation, ownership changes, and abuse scores. Returns a 0-100 trust score per endpoint.

Measure the network path quality to a voice/VoIP destination and get an estimated MOS (ITU-T G.107 E-model) plus live RTT, jitter, and packet loss. Agent-native: REST + MCP, free tier then pay-per-call via x402.

Enables monitoring chosen API vendors and public URLs, comparing each source with its saved baseline and returning only new changelog entries, status incidents, OpenAPI operation changes, and Sunset or Deprecation header updates.

Enables conversational automation of HPE Aruba Central network operations through Claude Code. Provides 88 tools across monitoring, configuration, and operations domains for device migration, SSID management, switch provisioning, and GreenLake Platform integration.

MCP server for the Hosannaith x402 reliability oracle on Algorand. Gives any agent a tool to score an x402 endpoint's reliability — uptime, correct HTTP 402 behaviour and latency — before paying it.