"MCP server for browser automation via Chrome DevTools" matching MCP servers:

Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.

Production-grade MCP server that gives AI agents safe access to your local dev environment: filesystem, databases, processes, and OpenAPI specs.

Enables LLM clients to fetch web pages as clean text, tail local logs, search the live web via DuckDuckGo, and run read-only SQL queries against SQLite or Postgres/Supabase.

Enables natural-language querying of PostgreSQL databases with schema grounding and self-correcting error recovery. Provides a live audit trace and verifies results through exploratory decomposition and empty-result sanity checks.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables users to manage company departments, employees, expenses, and performance ratings through a natural language interface in Claude Desktop. It features 12 specialized tools for comprehensive CRUD operations and AI-powered organizational analysis using Google Gemini.

A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.

A Model Context Protocol server implementation that provides a simple interface to interact with PostgreSQL databases, enabling SQL queries, database operations, and schema management through MCP.

A read-only MCP server that enables AI agents to explore database schemas and execute safe queries on PostgreSQL and MySQL.

Provides secure, API-key authenticated access to on-premise MSSQL databases, enabling SQL query execution, schema exploration, and stored procedure management through MCP.

Enables querying and interacting with 1C:Enterprise databases via COM connection without modifying the database.

Enables AI applications to run SQL queries and retrieve results from Oracle Database.

Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.

Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.

A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.

MCP Server for Apache Pinot

Enables integration with OpenMetadata by wrapping its REST API for standardized interaction through the Model Context Protocol.

Java based Model Context Procotol (MCP) Server for JDBC