"Development-related MCP resources" matching MCP servers:

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 agents to interact with Insforge backend-as-a-service platform through the Model Context Protocol, providing tools for database management, authentication, and storage operations.

An MCP server for Sakura Cloud that enables interaction with cloud resources and object storage. It allows users to manage Sakura Cloud infrastructure through natural language interfaces using the Model Context Protocol.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

Enables management of Zadara VPSA Storage Arrays and Object Storage endpoints, including volume operations, snapshot creation, and bucket management. It allows users to interact with storage resources and retrieve performance metrics using natural language or custom API requests.

Enables MCP-compatible AI clients to access and manage the authenticated user's 21Vianet Microsoft 365 mail, calendar, OneDrive, SharePoint, and related Graph data while respecting tenant permissions, confirmations, and audit boundaries.

Enables AI assistants to access and manage SharePoint sites, lists, and files along with Microsoft Graph and Azure Resource Manager resources over stdio, with authenticated access, write previews/confirmations, and file downloads.

Enables AI agents to run citation-backed retrieval over a read-only, bounded knowledge base, exposing a ranked search tool, document resources, and a grounding prompt that labels retrieved text as untrusted. The corpus can be loaded from local disk or from AWS S3, Azure Blob Storage, or Google Cloud Storage through their official SDKs, with fail-closed startup if a provider cannot be reached.

MCP server for the Solid protocol enabling AI models to read, write, search, and manage resources in Solid pods.

Enables interaction with AWS S3 buckets to list buckets and objects, retrieve files, and expose PDF documents as resources that can be loaded into the LLM's context.

Enables natural language control of AWS resources (EC2, Security Groups, S3, Bedrock, etc.) directly from Claude Desktop or Claude Code.

A development guide and reference implementation for building a custom Baidu Netdisk MCP server, enabling AI assistants to manage files and shares on Baidu Pan.

Provides an interactive dashboard within VS Code Copilot to manage Azure Storage accounts, containers, and blobs through a rich UI. It enables users to visualize storage resources, perform CRUD operations, and generate SAS tokens using the Model Context Protocol.