"Information about SQL Server" matching MCP servers:

MCP server that integrates sql-sop SQL linter into LLM clients, enabling linting SQL queries and listing lint rules via chat tools.

Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

MCP server for QTM4J (QMetry Test Management for Jira) Open API, enabling test case and cycle management via natural language.

Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.

Enables AI assistants to interact with Xray Test Management for both Cloud and Server deployments. Supports test execution, importing results from multiple formats (JUnit, Cucumber, Robot Framework, TestNG), and managing test plans and executions.

BrowserStack's Official MCP Server

MCP server for generating, validating, running, and reporting Apache JMeter API performance tests from structured API sources.

Provides programmatic access to BlazeMeter's performance testing platform through MCP tools. Enables users to retrieve test runs, analyze performance data, view error reports, and manage testing resources via natural language interactions.

A mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).

A zero-dependency mock MCP server for testing MCP clients and harnesses, with configurable tools and canned responses.

Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.

A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.

An MCP server that integrates AI agents with MagicPod, enabling natural language control of MagicPod testing through tools like Cursor and Claude.

Official MCP server for QA Touch, enabling AI assistants to manage test cases, defects, test runs, and more via natural language.

Provides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.

Managed MCP server that enables AI assistants to run, analyze, and create mabl tests, and query results across workspaces.

Controls Visual Studio 2022 through MCP using COM/DTE automation, enabling file management, building, debugging, and breakpoint operations directly from Claude Code.