"Accessing Hevy workout tracking app data" matching MCP servers:

Enables AI agents to query S3 data lakes using natural language, with support for CSV, JSON, Parquet and tools for data discovery, analysis, and metadata exploration.

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/).

Automates job application tracking and resume/cover letter generation using AI, integrating with Google Drive, Notion, and Gmail.

A read-only MCP server that exposes a configured Google Drive folder to MCP clients, enabling them to list, search, and extract content from various file formats like Excel, CSV, PDF, DOCX, and images.

Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.

Enables MCP clients to upload local or remote images to PicGo-configured image hosts, reusing existing PicGo configs without the desktop app. Supports batch uploads, custom naming, and status retrieval.

A PUT-only MCP server for MinIO that enables file, batch, and streaming uploads with automatic date/machine/file path organization and metadata generation for data archiving.

Enables agents to list, read, write, create, move, delete files and folders, create public share links, and search filenames in a single Nextcloud account via WebDAV and OCS, using app-password credentials from environment variables.

Enables durable, encrypted, cryptographically verified storage for MCP agents with self-serve signup and 12 GB free tier.

Provides decentralized storage for AI agents, enabling them to save generated content to MEFS and retrieve data via content identifiers.

Enables one-click deployment of static websites and HTML files to IPFS through Pinme. Automatically detects common build directories (build, dist, out, .next), uploads to IPFS, and provides ENS URLs for accessing deployed sites.

Enables AI assistants to store and retrieve data using the Walrus decentralized storage network. Supports blob storage operations, retrieval by ID, and blockchain-verified availability through the Sui network.

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.

The Model Context Protocol (MCP) Server built on Qiniu Cloud products supports users in accessing Qiniu Cloud Storage, intelligent multimedia services, and more through this MCP Server within the context of AI large model clients.

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.

🪐 MCP IPFS Server This server empowers language models 🤖 and other MCP clients to manage storacha.network spaces, upload/download data, manage delegations, and perform various other tasks by seamlessly wrapping w3 commands.

MCP server for reading and writing data files (Excel, PDF, CSV, JSON, text) with safe write rules and provenance tracking.

Layven is a shared drive for AI agents over MCP, with versioning, attribution, and rollback. It enables file operations like list, read, write, edit, delete, restore, search, and activity tracking.

High-performance MCP data plane server for Nextcloud integration, enabling AI agents to read, write, organize, and manage files and CRM assets over WebDAV and OCS APIs.

Provides complete Google Drive v3 API coverage through 66 MCP tools, enabling file management, permissions, comments, revisions, shared drives, change tracking, and content transfers over Streamable HTTP.