@reportportal
Basic information
MCP server for ReportPortal
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"reportportal": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"RP_API_TOKEN",
"-e",
"RP_HOST",
"-e",
"RP_PROJECT",
"reportportal/mcp-server"
],
"env": {
"RP_API_TOKEN": "your-api-token",
"RP_HOST": "https://your-reportportal-instance.com",
"RP_PROJECT": "YourProjectKeyFromReportPortal"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
The ReportPortal MCP Server bridges a ReportPortal instance with AI chat assistants (e.g., Claude Desktop, GitHub Copilot, Cursor), letting users ask plain-English questions about test runs and get answers directly from ReportPortal. Starting with version 2.x, it also integrates with the ReportPortal Test Case Management System (TMS) — test cases, folders, milestones, and test plans — so users can browse and manage test design data through the same chat interface.
Install the server locally via Docker (recommended) or a pre-built binary, then configure your AI tool’s MCP settings (e.g., mcp.json) with the required environment variables: RP_HOST, RP_API_TOKEN, and optionally RP_PROJECT. Alternatively, connect to a remotely deployed server in HTTP mode by providing its URL and authentication headers. The server runs in stdio mode by default for local tools; set MCP_MODE=http for remote access.
stdio) and remote (HTTP/SSE) transport modesYou need the ReportPortal instance URL (`RP_HOST`), an API token (`RP_API_TOKEN`), and optionally the project key (`RP_PROJECT`). The project key is the unique project identifier from the ReportPortal settings page, not the display name.
Never commit tokens to version control or share them publicly. Store them in environment variables or a secure configuration file.
Yes. Set the system environment variable `MCP_MODE=http` to run the server in HTTP/SSE transport mode, then AI tools can connect to it via its remote URL with authentication headers.
The server supports `stdio` (default, for local integrations with Claude Desktop, Cursor, VS Code, etc.) and `http` (for remote or multi-client access). The mode is controlled by the `MCP_MODE` environment variable.
Yes, starting with version 2.x. You can manage test cases, folders, milestones, and test plans through the same chat interface — for example, “List test cases in the Smoke folder” or “Create a test plan for the current sprint milestone.”
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