Databases

An Airflow ETL Pipeline Generator that integrates with databases, S3, SMB, Kafka, and GitLab to automate the creation of Spark-based data pipelines. It facilitates data source validation, schema extraction, and DAG generation through a conversational interface.

MCP (Model Context Protocol) Server. Streamlines database updates from CSV and Excel files, supporting multiple database types for efficient data migration and synchronization tasks.

Adaptive error memory and code intelligence system with Hebbian synapse network, hybrid search, and REST API

A specialized MCP server that integrates with the Materials Project API to provide tools for searching crystal structures, analyzing phase diagrams, and retrieving mechanical and electronic material properties.

A read-only MCP server that enables LLMs to query live SAP BusinessObjects BI data using natural language by wrapping the CData JDBC Driver. It exposes relational SQL models as tools for retrieving table schemas and executing SELECT queries.

A comprehensive task management MCP server that uses a local SQLite database and LangChain agents to log, update, and summarize productivity activities via natural language.

A tool that exposes FastAPI CRUD endpoints as MCP tools, providing a bridge between standard web APIs and LLM agents with a built-in SQLite backend.

A persistent local vector memory server that allows users to store and search project-specific context using LanceDB and local embeddings. It enables MCP-compliant editors to maintain long-term memory across different projects without requiring external API keys.

Provides semantic search capabilities over Teleport documentation using a pre-populated vector database. It enables AI assistants to retrieve relevant technical guides and examples from Teleport's official documentation.

A comprehensive MCP server for Harvestr.io that enables managing customer feedback, product discoveries, and company/user data directly through an LLM. It provides extensive tools for interacting with components, feature requests, and custom attributes within the Harvestr ecosystem.

A robust memory and knowledge graph server using PostgreSQL and pgvector to provide AI agents with cross-session semantic search, hybrid retrieval, and complex relationship tracking.

Connect AI assistants to Trino data warehouses to execute SQL queries, explore schemas, and analyze execution plans with optional semantic business context.

A comprehensive MCP server designed to manage and automate self-hosted Supabase instances running on Coolify infrastructure. It provides deep integration for database migrations, edge function deployments, storage management, and lifecycle control of Coolify applications.

A comprehensive MCP server for interacting with local DDEV development environments, allowing AI assistants to manage project states, execute container commands, and perform secure database operations.

Multi-database MCP server for PostgreSQL, MySQL, and ClickHouse

MCP (Model Context Protocol) Server. Connects Claude AI to Xano databases through Smithery, enabling direct querying, CRUD operations, and data management for building intelligent applications with structured data access.

A specialized MCP server that provides AI coding guidelines, domain-specific language rules, and development tools for the Bürokratt ecosystem, covering Ruuter YAML, SQL, and frontend modules.

A Model Context Protocol server that provides access to the USDA's FoodData Central database, allowing AI agents to search for food items and retrieve detailed nutritional facts and ingredient lists.

A validation server for Mermaid diagrams that provides real-time syntax checking, error debugging with line-specific feedback, and support for all major Mermaid diagram types.

MCP (Model Context Protocol) Server. Integrates with ClickHouse databases to enable data analysis, querying, and exploration for large-scale analytical workloads.

A comprehensive MCP server for managing Coolify instances, enabling natural language control over applications, databases, and servers for self-hosted infrastructure.

Enables AI agents to build, populate, and search knowledge graphs by providing tools for entity extraction, relationship mapping, and graph traversal. It manages the underlying database infrastructure so users can create searchable knowledge bases from text through natural language commands.

A comprehensive MCP server for querying, manipulating, and analyzing Deep State Representation (DSR) graphs, specifically designed for robot perception and scene understanding data.

A specialized MCP server for indexing and semantically searching local browser bookmarks across multiple platforms using vector embeddings and RAG.

A persistent memory system for LLMs providing hierarchical compression and semantic search using ChromaDB to overcome context window limitations.

MCP (Model Context Protocol) Server. Provides unified connectivity to PostgreSQL, MySQL, and SQLite databases with automatic schema discovery, query recommendations, and a web frontend for interactive database exploration and administration.

An MCP server that provides real-time and historical snowpack, weather, and telemetry data from over 800 SNOTEL stations via the USDA Air and Water Database API.

Provides intelligent, conversational access to the authoritative USDA nutrition database containing over 7,000 food items and 136 nutrients. Users can search food categories, compare nutritional values, and identify foods high in specific nutrients through natural language.

A robust Redis MCP server that provides AI editors with comprehensive database management capabilities, supporting all data types, batch operations, and backup functionality.

A specialized MCP server for managing reusable task contexts and artifacts, enabling AI agents to store, search, and autonomously refine best practices, rules, and prompts for repetitive task types.