"Discover" matching MCP servers:

An MCP server that provides access to Google's API Discovery Service, allowing agents to discover and interact with Google APIs through natural language commands.

Enables Claude to discover and understand infrastructure-as-code drift by listing projects with drift, analyzing Terraform plan outputs, and providing remediation information.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

Enables AI agents to discover, evaluate, and provision cloud infrastructure across AWS, GCP, and Azure with cross-cloud normalization, cost comparisons, and deployable execution kits.

Enables MCP-capable clients to discover live Oracle Cloud Infrastructure resources, map their dependencies, and generate reproducible Terraform configurations, all while enforcing security modes, compartment/region allowlists, and secret redaction.

Enables AI assistants to discover and invoke KakaoCloud OpenAPI endpoints for managing cloud resources like VMs, VPCs, load balancers, and databases.

One MCP server to manage self-hosted Coolify instances: verify connectivity, discover servers, deploy applications, tail logs, diagnose incidents, and run emergency ops from any MCP client.

Enables AI agents to discover Azure DevOps repositories, manage pull requests, and interact with PR comments and reviews via the Model Context Protocol.

Enables conversational assessment and migration of Domo estates to Databricks, allowing AI clients to discover, analyze, and transpile Domo assets into Databricks pipelines.

Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.

Enables AI agents to discover models, pricing, and chat completions through RouterBase, an API gateway for 200+ AI models.

Enables AI assistants to discover, explore, and query Formula 1 data stored in AWS, using Athena and Glue for schema inspection, sample data, and custom analytical queries.

An MCP server that exposes the Huawei Cloud CLI as a single tool for AI assistants to discover and execute commands interactively via --help navigation, with built-in safety for destructive operations.

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

Connects Claude and other MCP-compatible AI assistants to a Coreflux MQTT broker, enabling them to discover and execute Coreflux commands for managing models, actions, rules, and routes through natural language.

Enables LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.

The Firefly.ai MCP server is a TypeScript-based server that enables seamless integration with the Firefly platform. It allows you to discover, manage, and codify resources across your Cloud and SaaS accounts connected to Firefly.

Enables AI assistants to diagnose Crossplane control planes, discover resources and schemas, assess adoption and migration safety, and propose GitOps changes using evidence from actual cluster APIs.

Enables AI assistants to discover and control ZenControl DALI-2 lighting systems through natural language via the ZenControl Cloud API.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.