"Information about SQLite: a lightweight database engine" matching MCP servers:

MCP server for IBM Code Engine — build, push, and deploy containers from Cursor, Copilot, Claude, and Cline using natural language.

An MCP Server that provides natural language access to Google's Firebase Realtime Database API, enabling database operations and management through conversation.

Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.

Enables chat-based interaction with PostgreSQL databases, supporting table listing, queries, write operations, and saved parameterized queries, deployable as a remote MCP server via Cloudflare Workers.

Enables AI models to interact with SQLite Cloud databases, supporting SQL queries, schema management, and performance analysis.

Enables AI assistants to work directly with Firebase realtime database

Deterministic AI data-center design engine exposed as MCP tools for sizing, validation, and physical layout. Supports NVIDIA Hopper, Blackwell, and Vera Rubin with anonymous access to the remote engine.

Enables AI agents to manage infrastructure by exposing Terraform tasks and deployments as tools via STDIO or SSE.

Enables interaction with Cloudflare D1 databases through natural language by providing tools to list tables and execute SQL queries. Uses Cloudflare's REST API for lightweight database operations without requiring direct database connections.

A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.

Generates tailored system architecture recommendations based on business parameters like QPS, concurrent users, database type, and AI model size, providing resource allocation plans, middleware suggestions, and exportable architecture diagrams.

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

MCP server that enables AI agents to interact with Spica servers, managing databases, serverless functions, storage, authentication, auditing, debugging, and version control.

An MCP server that gives an AI agent controlled access to a Selectel cloud account: OpenStack cloud servers, S3 object storage, and account billing.

Deploys a remote MCP server on Cloudflare Workers without authentication, enabling custom tool definitions and remote connections.

Build and run a complete backend from your agent: relational data with row-/field-level security, full-text + semantic + geo search, RBAC and BYOK, a workflow/automation engine, a growth & retention engine (email, push, promotions, per-user referral codes, rewards and points), payments and marketplace billing, and a growing catalog of integrations – the whole Anythink platform as one CLI-backed MC

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

A Model Context Protocol server for Azure CosmosDB database operations that provides 8 tools for document database analysis, container discovery, and data querying.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.