alpacacloud-mcp
MCP ServerConnect AI agents to Alpaca Cloud: Postgres, Auth, Storage, Sandboxes, and Workflows.
Install
claude mcp add alpacacloud-mcp -- npx -y @alpacacloud/mcpWhat is alpacacloud-mcp?
Connect AI agents to Alpaca Cloud: Postgres, Auth, Storage, Sandboxes, and Workflows.
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just mcp servers.
MCP Serverssimilar to this one
All mcp servers →browserbasehq-mcp-browserbase
Provides cloud browser automation capabilities using Stagehand and Browserbase, enabling LLMs to i…
3.4K stars
dbhub
Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
3.3K stars
Stealthy Auto Browse
Self-hosted MCP server for stealth browser automation with human-like OS-level input.
63 stars
Plugins
All plugins →claude-code-setup
Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.
32.9K stars
feature-dev
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
32.9K stars
jfrog
Use the JFrog Platform from Claude Code: Artifactory repos and artifacts, security findings and exposures, Catalog package safety and downloads, workflows across the SDLC, and platform administration.
32.9K stars
Subagents
All subagents →explore
Read-only code explorer that the plugin's other agents dispatch to map a codebase — locate files, trace how a flow is wired, find every caller of a symbol, answer "where does X happen".
32.8K stars
scan-verifier
Restricted read-only verifier dispatched by the Claude Security scan workflow to vote on one candidate finding; not for direct invocation.
32.8K stars
scan-researcher
Restricted read-only vulnerability researcher dispatched by the Claude Security scan workflow; not for direct invocation or general exploration.
32.8K stars
Commands
All commands →modernize-status
Where am I in the modernization workflow — artifact inventory, staleness, secrets hygiene, next step
32.8K stars
help
Get help with FiftyOne skills, understand available workflows, and troubleshoot setup issues
32.8K stars
create-plugin
Guided end-to-end plugin creation workflow with component design, implementation, and validation
32.8K stars
Skills
All skills →create-atomic-tool
Build a `BaseTool[InSchema, OutSchema]` subclass — input/output schemas, `BaseToolConfig`, `run()` (and optional `run_async()`), env-driven secrets, typed failure outputs. Use when the user asks to "add a tool", "create a tool", "wrap an API as a tool", "build a `BaseTool`", "make a calculator/searc
6.1K stars
create-atomic-context-provider
Build a `BaseDynamicContextProvider` that injects a named, titled block into an agent's system prompt at every `run()` — current time, user identity, retrieved RAG docs, session state, cached DB schema. Use when the user asks to "add a context provider", "inject X into the prompt", "give the agent d
6.1K stars
framework
Guide for the Atomic Agents Python framework — schemas, agents, tools, context providers, prompts, orchestration, and provider configuration. Use when code imports from `atomic_agents`, defines an `AtomicAgent`, `BaseTool`, or `BaseIOSchema`, or the user asks about multi-agent orchestration or LLM-p
6.1K stars
Hooks
All hooks →PostToolUse (mcp__.*__find_columns|mcp__.*__get_dataset_columns|mcp__.*__get_dataset)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
PreToolUse (mcp__.*__run_query)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.