Databases

MCP (Model Context Protocol) Server. Provides safe execution of Python-like Starlark code in a sandboxed environment with built-in mathematical functions and configurable timeouts for computational tasks and code generation without file system or network access.

MCP (Model Context Protocol) Server. Semantic document memory using Redis vector store

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.

Enables AI assistants to interact with Metabase through its API, allowing them to list, read, execute, and manage databases, tables, dashboards, cards, collections, and queries with support for multiple export formats.

Executes TypeScript code in a secure sandbox with IPC-bridged access to MCP tools like filesystem operations and network requests.

A Model Context Protocol server for secure, sandboxed file operations and project scaffolding with built-in search and regex capabilities. It is optimized for Windows environments and features configurable access controls to restrict operations to specific directories.

A MongoDB-backed MCP server for managing user data, providing tools for creating, retrieving, and paginated listing of user records with built-in Mongoose integration.

Provides read and write access to Airtable databases, enabling LLMs to inspect schemas, search, create, update, and delete records, tables, and fields, as well as manage comments on records.

A MongoDB interface for MCP that enables direct database interaction, resource reading, and complex multi-collection aggregation pipelines.

Enables AI assistants to interact with Metabase analytics platform, allowing users to query databases, manage dashboards and cards, execute SQL queries, and access analytics data through natural language.

An MCP server that enables long-term memory for Claude Code by using Redis and AI-powered summarization to bypass the 200k token context limit.

MCP (Model Context Protocol) Server. Enables semantic search across multiple document collections using Qdrant vector database integration, allowing natural language queries with configurable result counts and collection tracking.

MCP (Model Context Protocol) Server. Integrates with GitHub's API to enable natural language interaction with repositories, offering tools for searching, creating issues, and performing semantic searches across stored documents using PostgreSQL with pgvector.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, manage dashboards, execute SQL queries, and organize collections through natural language.

A powerful browser automation MCP server that provides 90% DOM compression, ref-based element targeting, and sandboxed Playwright code execution with integrated DevTools.

Enables semantic search over local notes and documents using natural language queries, supporting multiple file formats with persistent ChromaDB storage and local sentence-transformer embeddings.

This MCP server provides access to the Api Ninjas Exercises database, allowing users to search for fitness routines by muscle group, difficulty, exercise type, and name.

The official Skema CMS MCP server provides a comprehensive suite of tools for searching, reading, creating, and updating CMS content and collections via natural language.

Provides secure, permission-controlled access to Firebase Firestore databases with full CRUD operations, advanced queries, batch operations, and transactions through a standardized MCP interface.

Integrates the Exploit-DB database with AI assistants to enable searching for exploits, shellcodes, and proof-of-concept code via keywords or CVE mappings.

Provides seamless access to Kibana and Periscope logs through a unified API with KQL and SQL querying, AI-powered log analysis, and support for searching across 1.3+ billion logs in 9 indexes.

A Python-based MCP server implementing Recursive Language Models to process massive datasets by storing data in sandboxed external variables instead of the model's context window.

A comprehensive MCP server for interacting with Apollo.io's global database to search, enrich, and manage people and organization data. It enables seamless integration for lead generation, account management, and contact enrichment through natural language commands.

A WorldBank API interface for querying global economic development indicators, specifically focusing on GDP and labor market statistics like employment rates and sectoral data.

Enables querying Amazon Neptune databases and analytics graphs using openCypher or Gremlin, while providing tools for schema retrieval and connection monitoring.

A comprehensive MCP server for Directus that enables automated schema management and content CRUD operations through a structured set of tools for collections, fields, and relations.

MCP (Model Context Protocol) Server. Web-based interface for connecting Claude to MySQL databases with granular permission controls

A robust deployment and management server for Laravel applications that integrates Faber CLI with Cursor. It automates full-stack orchestration including database provisioning, SSL setup, and zero-downtime deployments via natural language.

A comprehensive nutrition analysis platform that integrates Canada's Food Guide recipes with Health Canada's official CNF and DRI databases for discovery, scaling, and dietary adequacy assessment.

A Model Context Protocol server that provides a standardized interface for discovery, CRUD operations, and workflow execution within Bubble.io applications.