"Building a solid memory base for AI development" matching MCP servers:

Intelligent AI routing and integration platform for seamless provider switching

A Model Context Protocol (MCP) server that exposes the EasyDeploy public REST API as tools for Claude, Cursor, Claude Code, and other MCP clients.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables discovery of public API operations, scoped read-only diagnostics for domains, DNS, and mail, and a controlled write lifecycle that requires independent human approval before any mutation.

Enables AI assistants to deploy and manage hosted apps from git repos, read logs, add Postgres databases and domains, manage API keys and budgets, and send requests to 200+ AI models. Connects over remote Streamable HTTP with OAuth sign-in, so users need no API keys, installs, or local server.

Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.

MCP server that lets an AI agent manage Proxmox VE in natural language, with policy-driven security, read-only mode, two-step confirmations, and audit logging.

Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.

Provides Vertex AI Search for Commerce product search as a tool, enabling AI agents to search product catalogs using natural language queries.

Enables AI agents to access Cloudflare Workers AI for serverless LLM chat completions, text embeddings, and image generation via MCP tools.

Selectel S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

Yandex Cloud S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

VK Cloud S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

Cloud.ru S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

MWS S3 MCP server and Go CLI: browse, preview and restore files in a bucket. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

Timeweb Cloud S3 MCP server and Go CLI: browse, preview and restore files in a bucket, check prefix and backup volume. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

MCP FOR ITSM TOOL INTEGRATION

An MCP server that enables running commands against a ServiceNow instance via its REST APIs, including Table, Aggregate, Attachment, Import Set, Batch, CMDB, Service Catalog, Change Management, and Knowledge APIs.

Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.

Deterministic AI data-center design tools for sizing, validation, and conceptual rack/site layouts. Supports NVIDIA Hopper, Blackwell, and Rubin profiles. Calculations require a registered AIDC API key; results preserve warnings, RFIs, and pending validations.

Cloudeval AI provides cloud evaluations and reviews through MCP, with project context and reports for Azure and static AWS CloudFormation evaluation (beta). Includes a read-only toolset; requires a Cloudeval account and hosted services, and the public CLI uses a custom proprietary license.

Provisions Google Analytics 4 for local AI/web projects by creating properties and web data streams, injecting gtag snippets, and saving configuration.

Enables MCP-compatible clients to search approved local Markdown runbooks, retrieve selected local host health details, and get bounded Kubernetes pod-status summaries for allowlisted clusters and namespaces.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

Badgr lets AI agents launch GPU workloads, deploy inference endpoints, run models and execute AI workflows through MCP. Route workloads to available compute, track execution and costs, and retrieve verified results without managing GPU infrastructure.

Enables conversational management of Hetzner Cloud, DNS, and Storage Box infrastructure through 137 MCP tools for CRUD operations and actions like server power control, DNS zone management, and storage box snapshots.

Enables AI assistants to manage Amazon SageMaker AI resources including endpoints, jobs, pipelines, MLflow tracking servers, domains, models, model cards, and apps.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

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.

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

Exposes SAP AI Core APIs as MCP tools, enabling AI assistants to manage AI Core lifecycle and administration through natural language.

Enables MCP clients to browse hosted devices, upload models and datasets, compile and quantize models, run inference, read performance profiles, and download compiled outputs and logs through the Core API.

An MCP server that gives an AI agent controlled access to a Selectel cloud account: OpenStack cloud servers, S3 object storage, and account billing.

Enables interaction with Azure AI Agent Service by automatically discovering agents and creating MCP tools for querying and managing agent workflows.

Enables interaction with Azure AI Foundry services for model exploration, deployment, and performance evaluation. It provides tools for managing knowledge bases via AI Search Service, executing fine-tuning jobs, and orchestrating AI agents through natural language.

A production-ready template for building MCP servers on Cloudflare Workers with social login (Google, Microsoft, GitHub), D1 database, admin dashboard, and built-in AI chat testing across multiple providers.

Enables AI assistants to generate images using Cloudflare Workers AI models directly through the Model Context Protocol. It supports various models like Flux and Stable Diffusion, providing seamless image generation and storage via Cloudflare R2.

Exposes a single HTTP endpoint that aggregates tool definitions from GitHub, Kubernetes, and database namespaces, letting clients list available tools and invoke them by name. It provides health-check, tool-discovery, and tool-call routes for local, read-only experimentation without calling hosted models or applying production changes.