About
The ReportPortal MCP Server bridges your ReportPortal instance with AI chat assistants, enabling natural‑language queries for test runs and failures without UI or code. It follows the MCP standard for seamless integration.
Capabilities
ReportPortal MCP Server
The ReportPortal MCP Server acts as a natural‑language gateway between your ReportPortal instance and AI chat assistants such as Claude Desktop, GitHub Copilot, or Cursor. Instead of logging into the ReportPortal UI to inspect test results, you can ask your AI assistant questions like “Which tests failed in the last run?” or “Show me the five most recent test runs.” The server translates those plain‑English prompts into ReportPortal API calls and returns concise, context‑aware answers directly in the chat window. This eliminates the need for manual navigation or custom scripting, making test data instantly accessible to developers, QA engineers, and product managers.
At its core, the server exposes a set of predefined “commands” that mirror common ReportPortal queries—listing runs, retrieving failure details, summarizing error trends, and more. These commands are available to any MCP‑compatible AI tool; the client simply points at the server, and the assistant can invoke these queries as if they were built‑in chat actions. The result is a seamless, conversational workflow where insights about test coverage, flaky tests, or regression patterns surface with minimal friction.
Key capabilities include:
- Instant Test Insights: Retrieve summaries of test runs, failure counts, and error details on demand.
- Chat‑Based Interaction: Use any MCP‑compatible assistant to converse with ReportPortal data, turning the chat window into a smart test‑reporting helper.
- Zero Custom Code: Common queries are pre‑built; no scripts or API wrappers are required.
- Flexible Deployment: Run the server via Docker (recommended) or as a pre‑built binary, making it easy to integrate into CI pipelines or local development environments.
- Secure Configuration: Credentials and project context are supplied through environment variables, ensuring that only authorized queries reach the ReportPortal instance.
Typical use cases span across QA teams and development workflows. A test manager can quickly pull failure statistics during a sprint review, a developer can ask the assistant to list flaky tests before committing code, and an analyst can generate trend reports on test stability—all without leaving the chat interface. By embedding test intelligence directly into conversational AI, the ReportPortal MCP Server turns routine test data retrieval into a natural, efficient part of daily collaboration.
Related Servers
n8n
Self‑hosted, code‑first workflow automation platform
FastMCP
TypeScript framework for rapid MCP server development
Activepieces
Open-source AI automation platform for building and deploying extensible workflows
MaxKB
Enterprise‑grade AI agent platform with RAG and workflow orchestration.
Filestash
Web‑based file manager for any storage backend
MCP for Beginners
Learn Model Context Protocol with hands‑on examples
Weekly Views
Server Health
Information
Explore More Servers
JSON to Excel MCP by WTSolutions
Convert JSON data to CSV/Excel via Model Context Protocol
MyAnimeList MCP Server
LLM-powered access to anime, manga, and user data
MCP Current Datetime Server
Instant ISO 8601 datetime via MCP
Discord MCP Server
Integrate Discord with AI agents in seconds
Fast MCP Telegram Server
Telegram integration for AI assistants, fast and secure
Unreal MCP Server
Text‑to‑3D in Unreal Engine via Claude Desktop