"Querying Elasticsearch (ES)" matching MCP servers:

Read-only MCP server that exposes the agentic-os governance, SDLC, and Quality Engineering methodology to any MCP host. It never writes to your repository and never executes code — it serves the methodology, plans an install, and verifies it, handing any commands back to the host to run.

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

Enables querying Codecov coverage data including file, commit, repository, and pull request coverage.

A local MCP server that connects Claude Desktop, Claude Code, and Claude Chat to your Azure DevOps organization, enabling querying work items, reviewing pull requests, triggering pipelines, searching code, managing test plans, and updating wikis using plain language.

MCP server to simulate NHCX payer-side actions for testing provider integrations, enabling approval, rejection, querying, and forwarding of cases. It automates the payer workflow through tools like process case and get user role.

An MCP server connecting Claude to a running Archicad 29 instance for delivery-readiness QA via YAML rules and full Archicad API access, including querying, editing, creating elements, and schedule scheme editing.

Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.

Provides comprehensive access to the W3C WAI-ARIA specification for querying roles, states, properties, and accessibility requirements. It enables developers and AI agents to validate ARIA attributes and receive smart role suggestions based on UI component descriptions.

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 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.

An MCP server that exposes a LAVA instance to agents, enabling querying the board farm, submitting and managing test jobs, and opening interactive board sessions.

Provides a universal developer operations and diagnostics toolkit with sandboxed code execution, algorithm stress testing, security secret scanning, AST-based code fixes, and a visual dashboard for ERD, port/process inspection, and differential testing.

A Model Context Protocol server for Hackle API providing tools and resources for querying A/B Test data.

Enables AI assistants to interact with SmartBear's suite of testing and monitoring tools including BugSnag, Swagger, Reflect, and more through natural language, allowing querying of testing data, analysis of performance metrics, and management of test automation.

Enables automated testing of WeChat mini-programs via Model Context Protocol, providing tools for connecting to WeChat Developer Tools, querying and interacting with page elements, making assertions, navigating, and debugging.

Enables AI assistants to control WeChat mini-programs running in WeChat Developer Tools through MCP tools. Provides automation capabilities for launching, navigating, querying, and interacting with pages and elements.

Enables authoring, validating, inspecting, blackbox-inventorying, tracing, and capability-querying SPEC.md documents through MCP tools over stdio JSON-RPC. Each tool wraps the same command modules the CLI uses and returns identical JSON envelopes.

MCP server that lets AI agents control a Rohde & Schwarz CMW500 radio communication tester via direct TCP/IP SCPI, providing 84 tools for LTE signaling, WLAN, Bluetooth/BLE, and GPRF measurements, with built-in safety limits and a simulator for evaluation.

Enables querying a repository's resolved bug history through six read-only tools, allowing agents to check patches against past failures, retrieve regression tests, and replay behavior cases to prevent regressions.

Enables secure interaction with Salesforce orgs through LLMs, providing tools for managing orgs, querying data, deploying metadata, running tests, and performing code analysis. Features granular access control and uses encrypted auth files to avoid exposing secrets in plain text.