Cloud Services MCP Repositories

A utility file server that simplifies file management tasks by providing functionalities for uploading, downloading, and controlling access to files. It also supports static file serving, resumable uploads, and WebDAV integration.

Interact with MySQL databases through a standardized interface to perform operations such as querying, executing commands, and managing schemas securely. Provides comprehensive error handling and easy-to-use tools for database interactions.

Integrate with ConnectWise Manage to retrieve and manage tickets, companies, and contacts. Perform operations such as creating, updating, and deleting entities via the ConnectWise Manage API.

Built using TypeScript, this server facilitates client session management for MCP by defining tools, resources, and prompts, while supporting authentication, logging, and real-time updates through SSE. It provides features like error handling, CORS, and CLI tools for testing and debugging.

Enables editing and deployment of applications through a web interface and local development environment, while synchronizing changes and facilitating project management with custom domain connections.

Access Google BigQuery datasets and execute SQL queries using a simple interface that incorporates Large Language Models. The server manages authentication, handles connection settings, and provides tools for querying and listing datasets and tables.

Manage pull requests on Bitbucket Server, providing tools to interact with the Bitbucket Server API through the MCP protocol.

Integrate with Google Sheets to create, modify, and manage spreadsheets. Streamline data handling and automate spreadsheet tasks directly from applications.

Seamlessly connects to local environments to execute shell commands while supporting real-time communication with language models. It can be hosted locally or within a Docker container, offering a straightforward setup for integration.

Minima is an open source RAG server that operates on-premises, allowing integration with ChatGPT and MCP. It provides secure local storage and processing of data while supporting querying of local documents through customizable GPT interfaces.

A foundational server component for constructing sophisticated, document-centric applications employing integrated knowledge retrieval mechanisms, specifically utilizing Retrieval-Augmented Generation (RAG) paradigms.

A Python-based server for the installation and configuration of MCP servers across platforms. It supports package repository installations and local directory installations while managing configuration settings automatically.

Facilitates voice call management through Twilio and OpenAI, enabling real-time audio processing for interactive conversations with AI assistants. Offers pre-built prompts for common scenarios to streamline call initiation and handling.