Database MCP Servers

Kysely is a TypeScript SQL query builder that provides a type-safe interface for constructing and executing database queries. It functions as a database layer that ensures schema compliance and prevents runtime errors by using a fluent interface and a programmable way to build complex SQL statements. The project features a type-safe database layer capable of inferring return types and aliases from SQL selections and joins. It also includes a SQL migration manager to track and apply schema changes across different environments to keep database versions synchronized. The toolkit covers relational database integration through dynamic query construction and the execution of raw SQL statements. It allows for the creation of parameterized SQL snippets and the ability to reference tables and columns dynamically at runtime.

PostGraphile is an automated tool that converts a PostgreSQL database schema into a fully functional GraphQL API. It serves as a GraphQL execution engine and schema orchestrator, utilizing database schema introspection to retrieve strongly typed metadata directly from PostgreSQL. The project features a modular system for composing and standardizing GraphQL schemas through plugins, which manage naming conventions and connections. It includes a PostgreSQL query builder that constructs dynamic, SQL-injection-proof queries using tagged template literals. The system employs a declarative query planning engine to optimize request processing and reduce server load. Additionally, it provides a mechanism to export dynamically generated in-memory schemas into standalone JavaScript source code.

PouchDB is a JavaScript NoSQL document database that runs directly in the browser. It serves as an offline-first data store that allows applications to save state and user data locally using persistent storage. The database is compatible with CouchDB, implementing its API to enable synchronization between browser environments and remote servers. This allows for cross-device data syncing and the development of local-first software that operates without a constant internet connection. The project covers data storage and synchronization capabilities, including the ability to migrate database schemas when updating data formats.

Composio is an integration platform designed to connect autonomous agents with external software services and APIs. It functions as a tool orchestration framework and a middleware hub, providing a unified interface for managing the lifecycle, authentication, and execution of external tool definitions within agentic workflows. The platform distinguishes itself by utilizing the Model Context Protocol to standardize communication between artificial intelligence models and external data sources. It employs a provider-agnostic adapter pattern to decouple core logic from specific model providers and uses remote procedure call orchestration to route agent-generated function calls to external services through a centralized gateway. The system supports automated workflow orchestration, enabling the creation of complex task sequences across third-party business applications. It features dynamic tool discovery and session state management to maintain isolated execution environments, ensuring that agents have access to current service capabilities and authentication tokens during runtime. The project provides a software development kit that standardizes session creation and tool retrieval to facilitate integration within native development environments.

MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables. By mapping external data sources, predictive models, and third-party services directly into the database schema, it enables users to perform inference, data retrieval, and complex orchestration using standard SQL syntax. The platform distinguishes itself through an autonomous agent orchestrator that executes iterative reasoning loops, allowing agents to plan data access and synthesize natural language responses from connected knowledge bases. It functions as a federated data gateway, orchestrating queries across disparate external systems without requiring data movement or local storage. This architecture is supported by a modular connector framework that facilitates bidirectional communication with a wide range of cloud services, databases, and model registries. Beyond its core orchestration capabilities, the system provides comprehensive tools for managing the lifecycle of agents and models, including custom model uploads and isolated execution environments. It includes administrative features for organizing schema objects into project namespaces, configuring persistent storage, and managing API connectivity. The platform is an open-source server that can be deployed across local or cloud environments, with Docker recommended for initial setup.