#storage

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

A local encrypted execution layer for AI agents. Provides sealed scripts, protected subprocess execution, and secure local storage.

Sovereign E2EE cloud storage for AI agents. MCP-native, zero-knowledge, RGPD-compliant, hosted in France.

Open-source MCP memory server for AI agents — persistent, searchable, tiered memory across sessions. Works over stdio (Cursor, Claude Desktop) or HTTP+SSE. MIT licensed (separate commercial license available).

The Interplanetary File System (IPFS) MCP toolkit gives AI Agents and automated workflows the ability to utilize IPFS as a backend storage medium. Upload, retrieve, pin, and manage encrypted files on IPFS via a simple API accessible as MCP tools.

scratchpad-mcp is an MCP server that gives AI agents persistent, token-efficient storage. It solves a specific waste problem: agents constantly re-read files they've already seen, re-summarize documents they've already processed, and re-load context they've already understood. Every one of those round-trips burns tokens for no new information. This server fixes that with eight tools designed around how agents actually work: Versioned writes. write_file automatically versions every write and keeps the 10 most recent versions per file. Storage is append-only on success and atomic on failure partial writes can't corrupt state. Structured diffs. read_file accepts a since_version parameter and returns a JSON line-diff against that prior version instead of the full content. Agents that have already seen v1 can ask "what changed in v3?" and get a small structured payload they can reason about, not the entire file again. Append-only logs. append_log and read_log give agents an event-stream they can replay. Cursor-based pagination (since_entry + last_entry_id + has_more) means an agent can checkpoint where it left off and resume cheaply. On-demand summaries. summarize_file calls Claude Haiku to summarize files over ~2000 estimated tokens. Summaries are cached per file version, so repeat calls on an unchanged file cost nothing. The threshold is enforced server-side you can't accidentally pay to summarize something small. Per-agent isolation. Every operation is scoped by an agent_id parameter, so one server instance can serve many agents without leaking state between them. Storage limits. 1 MB per file write, 64 KB per log entry, 1000 files / 100k log entries / 100 MB total per agent sane multi-tenant guardrails out of the box. Backed by a single SQLite file (Postgres migration is on the roadmap). All SQL is parameterized, paths are validated against a strict allowlist, and the security model is documented honestly it's safe for one-user-per-process deployments today, and the V2 plan derives agent_id from the caller's API key for true multi-tenancy. Build agents that remember what they've already seen.

Search, memory, and blob storage for AI agents. One key, no setup.

AI-first file sharing and collaboration. 251 MCP tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. Free tier includes 50GB storage and 5,000 monthly credits, no credit card. Built by the team behind MediaFire. Works with Claude Desktop, Claude Code, Cursor, VS Code, Cline, and any MCP-compatible client. Connect via Streamable HTTP at https://mcp.fast.io/mcp or SSE at https://mcp.fast.io/sse. OAuth 2.0 PKCE authentication. Open source (Apache-2.0).

BitAtlas is a next-generation cloud storage platform designed with privacy and AI agents in mind. It provides a secure, zero-knowledge environment where your most sensitive documents are encrypted client-side and accessible only to you and the agents you authorize.

Cloud object storage with native MCP interface. AI agents like Claude autonomously save and retrieve files via 14 MCP tools. Memory persists across sessions. Web dashboard with file manager, folder sharing, and full-text search. OAuth 2.0 + API Token auth. Free tier: 10GB storage.

Upload, share and transfer files instantly. No signup or API key required. End-to-end encryption, multi-file bundles, free up to 1GB.

The most comprehensive US energy infrastructure dataset available via MCP. 31 tools for Claude, GPT, Cursor, and any MCP-compatible agent. Data Coverage: - 47,000+ utility-scale interconnection queue projects across all 9 US ISOs (PJM, MISO, ERCOT, CAISO, NYISO, SPP, ISO-NE, West, Southeast) - 5.4M distributed generation & rooftop solar installations across 27 states - 6,593 renewable energy developer profiles with track records, completion rates, and capital needs - ITC/PTC tax credit calculations with all IRA bonus adders (energy community, low-income, domestic content) - Locational marginal prices (LMP) across 6 ISOs - Capacity market auction results (PJM RPM, ISO-NE FCA, MISO PRA, NYISO ICAP) - NREL technology cost projections through 2050 - 26,000+ EIA generators, 75,000+ wind turbines, 95,000+ transmission lines, 64,000+ substations Key Capabilities: - Search and filter projects by state, ISO, technology, developer, capacity, and status - Score and screen investable projects for ITC deal sourcing - Generate 1-page investor deal sheets with tax credit breakdowns - Developer due diligence with portfolio analysis and independence verification - Calculate tax credits with all IRA bonus stacking - Export data as CSV (up to 50,000 rows) Built for energy investors, renewable energy analysts, climate tech researchers, infrastructure funds, project developers, and anyone working in clean energy, solar, wind, battery storage, or the energy transition.

Access the most comprehensive US energy infrastructure dataset available via MCP: - 47,000+ utility-scale interconnection queue projects across all 9 ISOs (PJM, MISO, ERCOT, CAISO, NYISO, SPP, ISO-NE, West, Southeast). - 5.4M distributed generation and rooftop solar installations across 27 states. - 6,593 renewable energy developer profiles with track records, completion rates, and capital needs assessment. 31 tools covering: project search and filtering, - ITC/PTC tax credit calculations with all IRA bonus adders (energy community, low-income, domestic content) - investable project scoring for deal sourcing, - 1-page deal sheet generation - developer due diligence - locational marginal prices (LMP) across 6 ISOs - capacity market auction results - NREL technology cost projections - EIA generator data, wind turbine database - transmission lines - substations - fuel prices - CSV data export. Built for energy investors, renewable energy analysts, climate tech researchers, infrastructure funds, project developers, and anyone working in clean energy, solar, wind, battery storage, or the energy transition.

AI-native Postgres + REST API + auth + storage + static sites + serverless functions. Pay with x402 USDC on Base. No humans, no signups.

VaultSage MCP lets your AI agent store, search, and chat over persistent cloud files. No local install—sign in with Google, copy one token, and connect via a single MCP URL to use file search, uploads, directory browsing, and share links from Cursor or Claude Desktop.

Memory with integrity for AI coding agents. SAME tracks provenance, flags stale knowledge, and surfaces contradictions; so your AI trusts what's current, not what's outdated. 17 MCP tools: semantic search, cross-vault federation, session handoffs, decision logging, knowledge graph, trust-aware retrieval, consolidation, health analysis. Provenance on every write. Stale notes rank lower automatically. SQLite + vector search. Ollama, OpenAI, LM Studio, or keyword-only. One 12MB Go binary. No cloud, no API keys, no telemetry. Your notes never leave your machine. Claude Code, Cursor, Windsurf, Codex CLI, Gemini CLI, and any MCP client.

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem. Supports session-isolated file operations, cross-session shared stores, 11 POSIX-style tools (read, write, ls, mkdir, rm, mv, glob, grep, etc.), and optional Row Level Security for multi-tenant deployments. Works with Claude Desktop, Claude Code, Cursor, Windsurf, Cline, and any MCP client.

Turn AI conversations into live apps. Describe what you need, and AppDeploy deploys a real, full-stack app. From idea to live app in minutes, without touching infrastructure.

Store and retrieve API keys and secrets locally for Claude Code. No cloud services, no .env files scattered across projects. Secrets are stored in a SQLite database on your machine and accessed via MCP tools. Supports add, get, list, search, update, and delete operations with category organization.

The Jotform MCP server provides programmatic access to forms and submissions via natural language interfaces, compatible with popular AI assistants including Cursor and VS Code extensions. Implementation follows the open Model Context Protocol specification, ensuring interoperability with any MCP-compatible client. The service is actively being optimized based on real-world usage patterns.This MCP is actively maintained and more tools will come soon.

Co-create schemas with your AI — typed fields, relationships, SQL-like constraints. Turn unstructured content into a curated database built for insights. Platform integrations such as PostHog and Microsoft built-in and expanding. Any HTTP API via OpenAPI import. One MCP connection gives your agent full CRUD, semantic search, and a structured knowledge base that grows correctly over time.

Interact with The Drive AI files directly from AI assistants like ChatGPT or Claude using the Model Context Protocol (MCP). Features • Browse and search through your The Drive AI files and folders. • Create, rename, move, and share files and folders in The Drive AI workspace from ChatGPT, Claude, and other AI assistants • Save files created by your AI assistant back to The Drive AI workspace. The Drive AI automatically organizes them for you! • Seamless integration with ChatGPT, Claude Desktop and other MCP-compatible clients

A Model Context Protocol (MCP) server for managing Rook Ceph storage clusters in Kubernetes environments.

Provide seamless access to Alpha ESS solar inverter and battery system data for AI assistants. Monitor real-time and historical energy statistics, configure battery charge and discharge schedules, and analyze energy trends with structured, enhanced data responses. Enable intelligent energy management and system control through secure API integration.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for IBM Cloud Object Storage (beta): https://www.cdata.com/download/download.aspx?sku=GMZK-V&type=beta

Ceph MCP Server

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Cloud Storage (beta): https://www.cdata.com/download/download.aspx?sku=HPZK-V&type=beta

This repository implements an MCP (Model Context Protocol) server that exposes various functionalities on an Azure Blob Storage account. It is based on the MCP SDK from Anthropic, which can be found at:

A Model Context Protocol (MCP) server that enables natural language interactions with AWS storage services through Amazon Q CLI.

Nody provides a powerful MCP Composer for creating and managing custom MCP servers. It enables you to personalize each tool's name and description to add context, helping agents use them with fewer tokens. It manages the configurations and secrets of MCP servers in one secure place, making it easier to deploy and scale your AI toolsets efficiently.

A Model Context Protocol (MCP) server implementation for graph-based memory storage with RAG capabilities

s3-mcp is a MCP server facilitates agent's access to S3-compatible storage.

A MCP (Model Context Protocol) server providing long-term memory for LLMs

Discover artifacts across OCI-compliant registries with ease

Distribute Artifacts Across OCI Registries With Ease

MCP server for object storage, supporting a range of operations for object storage

Create AI-powered video workflows including automatic editing, content moderation, voice cloning, highlight generation, and searchable video moments—all accessible via simple APIs and intuitive chat-based interfaces.

Official MCP Server for AIStor

An MCP Server for GMail

MCP Server to interact with Google Cloud Storage

Node.js Model Context Protocol (MCP) server providing secure, relative filesystem access for AI agents like Cline/Claude.

🪐 MCP IPFS Server

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Storacha MCP storage server - self-sovereign data for your AI applications.

MCP File System Server for Claude Desktop

Key-Value storage MCP server based on unjs/unstorage, support drivers: redis, mongodb, filesystem. http

Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream) Bucket contents (up to 1000 objects per bucket) Tools ListBuckets Returns a list of all buckets owned by the authenticated sender of the request Optional parameters: start_after (pagination), max_buckets (limit results) ListObjects Returns some or all (up to 1,000) of the objects in a bucket with each request Required parameter: bucket_name Optional parameters: prefix (filter by prefix), max_keys (limit results) GetObject Retrieves an object from MinIO Required parameters: bucket_name, object_name PutObject Uploads a file to MinIO bucket using fput method Required parameters: bucket_name, object_name, file_path

✨ mem0 MCP Server: A modern memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

A simple MCP server to interact with Pure storage arrays

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MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.

MCP Server for Yahoo Finance (STATUS: PRE-ALPHA)