Verify the MCP server's Python environment, including executable path, version, and installed packages, to ensure correct setup and troubleshoot missing dependencies.
Lists available risk factor observer types for ACTUS contract simulation, from simple constants to advanced time-series, with guidance on usage via MCP or Python API.
An MCP server that talks directly to Jira Cloud REST API v3 using static credentials and exposes tools for discovering customfield IDs, resolving account IDs, and updating issue fields including ADF JSON.
Retrieve Jira issues by submitting a JQL query to filter and fetch specific results, with options to limit the number of returned entries using the Jira MCP Server.