"Artifact Hub" matching MCP servers:

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

Enables automated cPanel management including subdomain provisioning, FTPS deployment, MySQL database management, snapshot backups, and remote file operations via MCP.

Centralizes verbatim local AI conversation history into a SQLite database and exposes it via an MCP server, enabling tools like Claude Code and Codex to retrieve exact context from other tools.

Enables interaction with Docker Hub through Claude to search images, get image details, list tags, analyze layers, and manage manifests. Provides secure credential storage with encrypted Docker Hub Personal Access Tokens in a MySQL database.

Enables LLMs to search, preview, and query data assets from ICRISAT's federation-first data hub, supporting CSV, Excel, and Word files with SQL access via DuckDB.

AI learning assistant for families. Manages game time rewards based on school grades, homework, and bonus tasks. Syncs with EduPage/PRONOTE. 78 MCP tools with instruction workflows.

Enables querying and searching the MCP Hub database to discover MCP servers, view server details, find top servers by popularity or recency, and identify top contributors.

A Model Context Protocol server that enables natural language querying of MySQL databases, supporting both HTTP-based communication and MCP stdio protocol.

A collection of production-ready MCP tools for common tasks such as web search, code execution, file operations, and database queries, enabling AI agents to perform these actions through a unified interface.

Enables querying USCIS H-1B employer sponsorship history, ranking top sponsors by US state, and retrieving dataset summary.

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

Enables natural-language querying of US utility emissions, generation mix, and climate alignment data through any MCP client.

Enables Claude Desktop and Claude Code to inspect a Postgres schema and run read-only SQL queries against a demo database through the tools describe_schema and query_readonly. Every proposed query passes the same deterministic guardrails — SELECT-only, allow-listed tables, enforced row limits, statement timeouts and a read-only role — before execution.

An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.

Analyzes Microsoft Sentinel solutions from GitHub repositories to map data connectors to Log Analytics tables and query security content like detections and playbooks. It provides instant access to the official Content Hub or private repositories through a high-performance pre-built index.

A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.

Enables interaction with the Hugging Face Dataset Viewer API, allowing users to browse, search, filter, and analyze datasets hosted on the Hugging Face Hub.

Read-only MCP server for 1mg's logistics platform (Loki/Thor), enabling order, task, rider, hub, and day-tracking queries via the Thor API.

🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.