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Discover Data & Analytics MCP servers. Equip your AI Agents with SQL querying, data visualization, and database management capabilities.
Discover the world's most comprehensive directory for AI Agent Skills and community-driven MCP Servers (Model Context Protocol). Seamlessly find and install high-quality developer integrations for your Claude Desktop, Cursor, or custom AI agents. From cloud operations to API integrations, explore verified open-source MCP practices to supercharge your AI workflows.
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RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
review-pr is an AI Agent Skill that analyzes GitHub pull requests. It parses a provided argument string to extract a PR identifier (URL or number) and optional reviewer instructions, then executes a series of steps to gather data and perform a code review.
The platform for LLM evaluations and AI agent testing
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Zedis: A blazing-fast, native Redis GUI built with Rust and GPUI.
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
A tool to get summaries and get past paywalls
Golem Cloud is the agent-native platform for building AI agents and distributed applications that never lose state, never duplicate work, and never require you to build infrastructure.
Terraform-style, declarative schema migration CLI for Postgres
A Streamlit component to render ECharts.