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195,747 tools. Last updated 2026-06-12 05:26

"Using Jira MCP API in Python" matching MCP tools:

  • Execute Python code directly within Unreal Editor to automate tasks, manipulate assets, or extend functionality using the Unreal Python API.
    MIT
  • 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.
    MIT
  • Verify Jira MCP server configuration and connectivity to ensure proper integration with AI assistants for Jira project management.
  • Verify Jira MCP server configuration and connectivity to ensure proper integration with Atlassian Jira Cloud.
  • Execute Python scripts within IDA Pro to automate analysis tasks using IDA's API modules directly from the MCP server interface.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Search for Jira issues using JQL queries to find specific tickets, track project status, or monitor team progress within JIRA projects.
    MIT
  • Create a Python script in the Avizo MCP work directory to automate Python runs within Avizo. Specify script content, optionally set job name and filename.
  • List public exports of a FLOX binding surface (C-API, Python, Node, Codon, QuickJS) to browse available symbols. Supports optional case-insensitive substring filter.
    MIT
  • Restarts ComfyUI using saved process info from a previous stop, then polls the API until ready before confirming.
    MIT
  • Search PFC Python SDK documentation by keywords to find matching API paths and signatures. Use when you have keywords but don't know the exact API path.
    MIT
  • Execute Python or JavaScript code in a sandbox to test scripts, debug algorithms, or run isolated code snippets safely.
    MIT
  • Create a new issue in a specified Jira project by providing project key, issue type, summary, description, and optional priority and assignee.
    MIT
  • Retrieve the running version of qrz-mcp and the QRZ API contract to detect drift across MCP deployments.
    GPL 3.0
  • Retrieve Jira data from projects, issues, comments, and workflows using API endpoints. Filter responses with jq to reduce token costs and optimize performance.