"Cursor IDE integration with Jira for ticket management" matching MCP servers:

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

A FastMCP server for Cursor platform APIs enabling spend guardrails, cloud agent monitoring, and inter-agent inbox messaging.

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

Scoped, low-latency persistent memory layer for AI agents, Cursor, and Claude Code over Model Context Protocol with sub-50ms hybrid search.

Cursor plugin: Arch theological review API (POST /v1/review)

Monitors your Cursor usage and provides a conserve flag to the agent, helping you manage request quota by batching questions, preferring defaults, and cutting unnecessary confirmations.

Enables MCP clients like Claude Code and Codex to delegate coding tasks to Cursor's CLI agent, which implements changes in the workspace and returns clean, structured results for review.

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

AI coding usage analytics — track spend, model usage, and costs across Cursor and Claude Code sessions.

MCP server that wraps Cursor Enterprise API to enable AI agents to answer questions about team spending, usage, and model adoption.

A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.

Enables AI assistants to access and manage Jira boards, sprints, epics, issues, JQL searches, transitions, comments, worklogs, projects, users, and any REST endpoint across Jira Cloud and Data Center.

Enables MCP clients to inspect, back up, restore-plan, and safely manage Discord guilds with local-only stdio operation, confirmation and audit reasons, and guarded mutations requiring backups for high-impact changes.

A Simple Model Context Protocol server that enables AI assistants to interact with Jira, allowing operations like fetching tickets, adding comments, and updating ticket status.

Jira Cloud MCP server providing Jira-first tools for common workflows and full REST API coverage through a generic request tool.

Comprehensive Jira integration for Claude Code enabling issue management, sprint operations, comments, attachments, and batch processing.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

MCP server for Cognigy.AI - 132 tools that let Claude, Cursor & other AI assistants build, configure, test & operate conversational AI agents via the Model Context Protocol.

A Model Context Protocol server that enables AI assistants like Claude to interact with Jira, allowing for project management tasks such as listing projects, searching issues, creating tickets, and managing sprints through natural language queries.

Enables running Jira project health audits directly in Claude Desktop, providing real-time health scores, risk detection, and team workload analysis through natural language.

Enables cost-effective repository analysis, code search, file editing, and task planning by wrapping the cursor-agent CLI through focused tools. Reduces token usage by offloading heavy thinking tasks from Claude to specialized operations with configurable output formats.

Lets AI agents work with self-hosted Jira Server/Data Center 7-10 using a plain username + password, no API tokens. 42 tools for issues, JQL search, transitions, comments, worklogs and sprints.

HR Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Project Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Inventory Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.