"GitHub code repository platform" matching MCP servers:

One place for every AI agent's pages and docs. Publish HTML, build folders, ZIPs, PDFs and Office documents as sandboxed, versioned share links, then search, read and update them later from any MCP client. Sign in with Google or GitHub via OAuth. Open source and self-hostable: https://github.com/lexmount/artifact-site

MCP Server for Eyevinn Open Source Cloud API, enabling creation of solutions based on open web services. Web services based on open source where the creator gets a share of the revenue the platform generates.

Enables AI assistants to interact with Parse Platform databases, users, files, and more through the Model Context Protocol.

Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.

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.

Enables AI agents to browse, search, and download files from Shanghai Jiao Tong University's cloud drive after QR-code login, without handling account passwords.

A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with TrueNAS Core systems through the TrueNAS API, supporting user management, storage operations, sharing, and snapshot creation.

Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.

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 AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.

This read-only MCP Server allows you to connect to Azure Data Lake Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI assistants to search, query, and manage ocean/environmental datasets from the Oceanum platform, and to read, write, and delete files in Oceanum cloud storage.

Enables AI-driven interaction with CTERA Portal APIs for file and folder management through natural language or automation workflows.

Manage Proton Drive from Claude, Codex, VS Code/Copilot, and any MCP client through Proton's official CLI. Authentication and encrypted Drive behavior stay with Proton's tooling.

MCP server for Google Drive, Docs, and Sheets — built for Claude Code. Gives Claude Code direct read/write access to Google Sheets (cell-level edits, formatting, structure), Google Docs (insert, replace, append), and Drive (search).

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

This read-only MCP Server allows you to connect to Google Drive data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A Model Context Protocol server that gives Claude Code (or any MCP client) controlled access to Microsoft 365 through the Microsoft Graph API: mail, calendar, contacts, files, notes, tasks, Teams, SharePoint, and the full tenant-admin surface.

Exposes your Google Drive, Slack, GitHub, and Railway to MCP clients with semantic search, per-user permissions, and optional OAuth, allowing natural-language access to your private data and infrastructure.

Enables agents to browse, read, write, upload, download, move, rename, trash and restore files in iCloud Drive by talking to iCloud directly, so it works whether or not files are synced locally. Reads prefer a hydrated local copy when one exists, while every write goes straight to iCloud so all devices see changes at once.