"Android Studio Development Platform" matching MCP servers:

Enables AI agents to directly access and query Android app databases (SQLite/Room) via ADB, supporting schema inspection and live SQL CRUD operations.

Inspects and queries SQLite databases on Android devices via ADB, supporting listing databases/tables, describing schemas, and executing SELECT/INSERT/UPDATE/DELETE queries.

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Enables an AI assistant to explore BigQuery datasets, run read-only queries and create views, then build and refine dashboards in the Looker Studio editor — charts, text, shapes, themes and exact layouts — verifying the result with screenshots. Write actions are gated behind explicit configuration, dry-run and audit logging.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Enables deploying and managing apps with hosting, logs, rollbacks, environment variables, domains, Postgres databases, file storage, and transactional email. It also supports SQL console operations, database imports, and support requests.

Integrates with the Datalog Studio REST API to explore projects, tables, and assets within a workspace. It enables users to understand data schemas and upload plain text content directly for AI processing.

Enables AI agents to discover and understand tables, trace upstream and downstream lineage, resolve governed metric definitions, and enforce permission and rate-limit guardrails through structured MCP tools.

Enables authenticated organization members to submit, query, and manage schema-validated structured records directly from ChatGPT, with membership requests and approval workflows gating access. All operations are tenant-isolated, permission-checked, and audited, so records are only reachable by approved members of the owning organization.

Provides a portable Windows AI workspace with local SQL queries, calculation and statistics, file sandbox, chat, tool debugging, and account/file sharing features.

MCP server for tracking user course progress, providing tools to retrieve and save course and stage progress for authenticated users with data persisted in SQL Server.

Enables governed, read-only SQL analytics, hybrid RAG knowledge search, financial metric calculation, and database schema introspection through MCP, with role-based access control, audit logging, and AI observability.

Enables AI coding agents to securely access 70+ SQL and NoSQL databases via dockit and sqlkit, using plain language queries. It provides a three-tier permission model and never exposes credentials to the LLM.

A full-feature MCP server that serves as a product-development copilot, providing RAG search, SQL queries, and inline chart visualizations from seeded product data, with per-user identity and its own OAuth login.

High-performance Model Context Protocol server supporting multiple LLM providers (OpenRouter, OpenAI, Groq) with WebSocket API and conversation history persistence.

Enables AI agents to interact with Magento 2 development environments through comprehensive tools for module management, database operations, cache control, configuration management, and system diagnostics. Supports complete development workflows from module creation to deployment and troubleshooting.

Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.

Turns any LLM into a coding co-pilot with production-ready MCP server providing lint, test, execution, generation, and graph tools. Features Neo4j persistence, OpenAI Agent integration, REST API, and React frontend for comprehensive code development assistance.

A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.

MCP server platform enabling agents to self-register and access geo MCP tools (read-only geo_entities) plus hello ping services via a public MCP endpoint.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

A FastAPI-based server that enables executing SQL queries, managing database connections, and retrieving analytics reports through MCP-integrated endpoints. It allows users to interact with database schemas, performance metrics, and access logs using structured queries.

Multi-tenant MCP server connecting Claude to Priority ERP via OData. Supports read-only operations through natural language.

Read-only BIM query server for agents: structured, policy-bounded queries on IFC/gbXML models with deterministic cited results.

MCP server enabling AI agents to directly query and manage Power BI datasets, reports, and workspaces via DAX, with built-in data security policies and support for both Power BI Desktop and Service.

Model Context Protocol server for YDB databases that enables AI-powered database operations and natural language interactions with YDB instances from any LLM that supports MCP.

Enables AI agents to discover governed business concepts and request deterministic metrics with expanded formulas, rules, row filters, reference dates, and evidence instead of writing SQL against raw tables. It keeps personal data from agents and serves the same metric consistently across multiple databases.

An MCP server that provides standardized access to the SinoPac Securities Shioaji trading API for market data retrieval and order management. It enables users to search contracts, access real-time market snapshots, and manage trading accounts through a secure, model-compatible interface.

Enables stdio MCP clients to access the desktop app's local endpoint, letting AI tools list saved connections, run permitted SQL across SQL Server, PostgreSQL, MySQL/MariaDB, Oracle, and SQLite, inspect schemas, control UI tabs, compare schemas and data, run notebooks, and manage Azure Storage.

Provides read-only access to PostgreSQL databases via MCP, enforcing least-privilege roles, row-level security, masked views, and SQL AST guardrails to prevent data leakage and unauthorized operations, enabling AI agents to safely query sensitive production data.

MCP server for SAP S/4HANA via the ADT API, enabling querying and reading SAP systems with production write protection.

Enables AI assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.

Zero-config PostgreSQL MCP server with auto-provisioning. Drop-in replacement for @modelcontextprotocol/server-postgres — no DATABASE_URL needed.

MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI transformations, vector search, and natural-language SQL. Works across Postgres, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores (Qdrant, Weaviate, Milvus, Chroma, pgvector).

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

Manages agent certification by tracking trust scores, capabilities, and test results via a PostgreSQL database. It allows users to verify agent skills, report test outcomes, and automatically certify agents based on performance thresholds.

Enables AI assistants to manage database encryption key operations and Transparent Data Encryption (TDE) for SQL Server and Oracle databases via CipherTrust Application Key Management (CAKM).

Connects to Oracle Autonomous Database via OCI Bastion tunneling to enable AI-powered database exploration. Supports schema introspection, automatic ERD generation, and read-only SQL query execution through natural language interfaces.

Connects Microsoft Copilot Studio to Azure SQL Databases, enabling natural language interactions for data querying, record management, and schema inspection. It features 12 specialized tools for performing CRUD operations, executing SQL queries, and generating data visualizations like charts.

Enables LLMs to extract content from websites using automated static and dynamic scraping engines with built-in anti-bot protections. It provides tools for web data retrieval and stores results in MongoDB with support for JSON and CSV exports.