Merge pull request #683 from mortensi/patch-1

Update README.md
This commit is contained in:
Frank Fiegel
2025-04-20 04:09:48 -04:00
committed by GitHub

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@@ -179,6 +179,7 @@ Cloud platform service integration. Enables management and interaction with clou
- [wenhuwang/mcp-k8s-eye](https://github.com/wenhuwang/mcp-k8s-eye) 🏎️ ☁️/🏠 MCP Server for kubernetes management, and analyze your cluster, application health
- [erikhoward/adls-mcp-server](https://github.com/erikhoward/adls-mcp-server) - 🐍 ☁️/🏠 MCP Server for Azure Data Lake Storage. It can perform manage containers, read/write/upload/download operations on container files and manage file metadata.
- [silenceper/mcp-k8s](https://github.com/silenceper/mcp-k8s) 🏎️ ☁️/🏠 MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need to memorize complex commands - just describe your needs, and AI will accurately execute the corresponding cluster operations, greatly enhancing the usability of Kubernetes.
- [redis/mcp-redis-cloud](https://github.com/redis/mcp-redis-cloud) 📇 ☁️ - Manage your Redis Cloud resources effortlessly using natural language. Create databases, monitor subscriptions, and configure cloud deployments with simple commands.
- [portainer/portainer-mcp](https://github.com/portainer/portainer-mcp) - 🏎️ ☁️/🏠 A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.
### 👨‍💻 <a name="code-execution"></a>Code Execution
@@ -304,6 +305,7 @@ Secure database access with schema inspection capabilities. Enables querying and
- [qdrant/mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) 🐍 🏠 - A Qdrant MCP server
- [QuantGeekDev/mongo-mcp](https://github.com/QuantGeekDev/mongo-mcp) 📇 🏠 - MongoDB integration that enables LLMs to interact directly with databases.
- [rashidazarang/airtable-mcp](https://github.com/rashidazarang/airtable-mcp) 🐍 ☁️ - Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface.
- [redis/mcp-redis](https://github.com/redis/mcp-redis) 🐍 🏠 - The Redis official MCP Server offers an interface to manage and search data in Redis.
- [runekaagaard/mcp-alchemy](https://github.com/runekaagaard/mcp-alchemy) 🐍 🏠 - Universal SQLAlchemy-based database integration supporting PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server and many more databases. Features schema and relationship inspection, and large dataset analysis capabilities.
- [sirmews/mcp-pinecone](https://github.com/sirmews/mcp-pinecone) 🐍 ☁️ - Pinecone integration with vector search capabilities
- [supabase-community/supabase-mcp](https://github.com/supabase-community/supabase-mcp) 🎖️ 📇 ☁️ - Official Supabase MCP server to connect AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data.