AIStorageDepot

AIStorageDepot

Your team's prompt, rules, skills & docs library exposed over MCP (search_library + get_item); mark items "/" and they become slash commands. Free for individuals.

Category
Visit Server

README

@aistoragedepot/mcp

A Model Context Protocol server that exposes your AIStorageDepot library to any MCP-aware AI client — Claude Desktop, Cursor, Cline, Windsurf, and others.

Your stored content shows up where you actually work:

  • Prompts → the items you mark with / in the app become MCP prompts (slash-commands) — any type, with each prompt's [field] surfaced as a prompt argument you fill in.
  • Resources → every item (rules, docs, skills, MCP configs, prompts) is readable at aisd://item/<id>, so an agent can pull "my coding rules" or "my project guidelines" into context on demand.
  • Toolssearch_library(query) and get_item(id) let an agent find and fetch anything in your library programmatically.

Try it with no account (sample mode)

AISD_TOKEN is optional. Run the server with no token and it serves a free, read-only sample of the public curated library — a good way to see AIStorageDepot inside your editor before signing up. Add a token later to switch to your own & team libraries. Add the server with an empty env (or omit AISD_TOKEN):

{
  "mcpServers": {
    "aisd": { "command": "npx", "args": ["-y", "@aistoragedepot/mcp"] }
  }
}

Setup

👉 Easiest path: step-by-step instructions for each app (config-file locations and all) are at https://www.aistoragedepot.com/connect. The manual version:

  1. In AIStorageDepot, go to Settings → API tokens and create a token (free for individuals). Copy it.
  2. Add the server to your MCP client's config. Example (Claude Desktop / claude_desktop_config.json, Cursor ~/.cursor/mcp.json, etc.):
{
  "mcpServers": {
    "aisd": {
      "command": "npx",
      "args": ["-y", "@aistoragedepot/mcp"],
      "env": {
        "AISD_TOKEN": "aisd_xxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}
  1. Restart the client. The items you marked / appear as slash-commands; everything is available as resources; and the search_library / get_item tools are ready.

Configuration

Env var Required Default Notes
AISD_TOKEN no Token from Settings → API tokens. No token = anonymous sample mode (the free public curated library, read-only). With a token you get your own & team libraries. Has full access to your account — keep it secret.
AISD_BASE_URL no https://www.aistoragedepot.com Point at a self-hosted / dev instance if needed.
AISD_WORKSPACES no Retired. Your slash menu is now the items you mark / in the app (strict opt-in); this variable is ignored. Search and resources still cover every workspace.

Slash-commands (pull)

Not every client turns MCP prompts into / slash-commands (some only use the tools). To get your library as native slash-commands, sync it to command files — for every AI tool you use, not just Claude:

npx -y @aistoragedepot/mcp pull --token=aisd_your_token --to=all
Target Writes to Commands appear as
claude (default) ~/.claude/commands/aisd/ /aisd:<name>
cursor ~/.cursor/commands/ /aisd-<name>
vscode your VS Code profile's prompts/ folder (Copilot Chat) /aisd-<name>
windsurf ~/.codeium/windsurf/global_workflows/ (Cascade) /aisd-<name>
codex ~/.codex/prompts/ /prompts:aisd-<name>

Tools that aren't installed are skipped automatically. Each tool gets its own dialect (frontmatter, argument hints, $ARGUMENTS where supported). Skills run as-is. Prompts take input: their [fields] show as an argument hint, and whatever you type after the command fills them —

/aisd:cold-outreach Jane at Globex, about our payments API

— with the AI asking for any value you left out.

Option Default
--to=… claude Which tools to write commands for — comma list, or all.
--token=… AISD_TOKEN env Your API token.
--types=… skill,prompt Which item types become commands (e.g. skill for skills only).
--workspaces="A,B" your personal library Which workspaces to pull (names, or all).
--project off Write into the current repo instead: .claude/commands/, .cursor/commands/, .github/prompts/, .windsurf/workflows/.
--dir=<path> per-target Write somewhere else entirely (single --to only).

Re-runs are safe: each target only clears its own files (claude: its namespaced folder; the others: only files with the aisd- prefix — your own commands are never touched).

Notes

  • Read-only in v0.1 (it surfaces and fetches your content; it doesn't write back).
  • The library snapshot is cached for ~30s, so a burst of calls hits the API once.
  • Revoke a token any time in Settings → API tokens; the server loses access immediately.

Local development

npm install
AISD_TOKEN=<token> AISD_BASE_URL=http://localhost:3100 npm run test:client

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured