"Qubes OS" matching MCP servers:

Exposes Dooor OS workspace capabilities to MCP-compatible AI clients, enabling natural language querying of data sources, app and deployment inspection, agent and database management, and governance trace reading.

Double-entry books an agent keeps as the user, on your own Postgres or Supabase: invoices, VAT returns, bank reconciliation, financial statements and 130 country packs.

Enables AI agents to run deterministic database intelligence tasks including natural-language-to-SQL synthesis, AST SQL auditing and optimization, schema migration diffing, SQL transpilation, index and normalization advice, PII scrubbing, fixture generation, connection-pool sizing, isolation-hazard auditing, and ORM model compilation over Streamable HTTP or stdio.

Enables read-only reconciliation and member/billing queries against a gym SQLite database through typed domain tools, allowing natural-language interaction from Claude.

Enables interaction with SAP S/4HANA systems via OData, allowing service discovery, metadata exploration, field value retrieval, and CRUD operations through natural language.

Read-only MCP server for InfluxDB v1 that lets Claude query and explore time-series data using InfluxQL.

Enables querying package ecosystem data from ecosyste.ms, including package metadata, versions, security advisories, dependencies, and repository information across 40+ package registries with fast local SQLite lookups and API fallback.

An MCP server for controlled server operations via BaoTa Panel, providing 50+ tools for system, site, database, files, cron, Docker, and network management with safety features like permission tiers, credential masking, and audit logs.

Enables AI agents to query public astronomy catalogs via TAP, with schema discovery, bounded ADQL queries, and reproducible results including exact queries, limits, and assumptions.

Enables AI agents to list metrics and dimensions, inspect definitions, and run governed metric queries against Apache Iceberg tables through a semantic layer, without writing SQL or accessing raw rows or columns outside their role.

A secure, read-only MCP server for Microsoft SQL Server with built-in performance monitoring and lock detection.

Enables AI agents to query and explore multiple MonetDB column-store databases from one server, using named config labels or runtime credentials via dynamic connect. Provides SQL execution, schema/table inspection, health checks and EXPLAIN plans, with read-only defaults and per-project restriction flags like --label and --no-dynamic.

Enables interaction with Microsoft SQL Server and Azure SQL databases through natural language, supporting queries, schema exploration, stored procedures, and complete database operations with connection pooling and security features.

Enables safe read-only interaction with SQL Server and Azure SQL databases, providing schema exploration, query linting and analysis, query plan insights, write previews as SELECTs, and a versioned library of .sql queries via MCP.

MCP server to operate your own LINE bot: webhook queue health, failed jobs and retries, push, Rich Menu, follower insight.

Read-only MCP server for exploring and searching OpenSearch clusters, enabling log analysis, index exploration, and query execution.

A Model Context Protocol (MCP) server for PostgreSQL that provides safe, structured access to your database for AI assistants, enabling health checks, index tuning, lock analysis, and more.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.

Enables MCP clients to inspect and work with Power Apps solutions, canvas app source, Dataverse metadata, and FetchXML via the Power Platform CLI, with read-only defaults and gated, dry-run imports.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Enables AI agents to safely interact with GitHub, query Postgres read-only, check deployment status, and search/read files within an allowlisted sandbox—all with dry-run writes and SQL/path safety gates.

Enables AI models to interact with MS SQL Server databases through a standardized interface. Supports executing SQL queries with parameters, listing tables, and describing table schemas.

Enables comprehensive PostgreSQL database monitoring, analysis, and management through natural language queries. Provides performance insights, bloat analysis, vacuum monitoring, and intelligent maintenance recommendations across PostgreSQL versions 12-17.

Enables AI agents to perform full-stack cloud operations across Alibaba Cloud and Tencent Cloud, including server management, project deployment, database queries, file operations, instance lookups, and DNS/CDN management through 26 tools.

Enables local, deterministic management and search of point-of-sale support data—branches, terminals, incidents, and incident history—with read-only queries and mutating tools over stdio using simulated SQLite data.

Enables AI clients to drive a UI-testing toolbox with 35 tools, including a headless Playwright runner, live Chromium browser with screenshots, test management, and read-only database queries, all through the Model Context Protocol.

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

Enables AI-powered competitor pricing analysis by scraping LLM inference pricing websites via Firecrawl, storing the data in SQLite, and answering cost comparison queries through natural language.

A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.

A Model Context Protocol (MCP) server for Microsoft SQL Server that provides tools for database operations, data analysis, and visualization generation.