"Resources and Tools for Frontend Development (e.g., Jira, Figma, GitHub)" matching MCP servers:

Enables AI agents to perform GitHub analytics and management tasks, including repository analysis, PR summarization, issue triage, release notes generation, and contributor statistics.

Provides AI-powered tools for UX/UI review, web component generation, and code refactoring using Google Gemini.

Exposes GOV.UK Frontend components and Design System patterns and styles as MCP resources for use with AI assistants.

A Model Context Protocol (MCP) server that enables interaction with JIRA APIs through Claude Desktop, allowing users to search, create, update, and manage JIRA issues using natural language commands.

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

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

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Provides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.

MCP to Connect JIRA by NodeJs

A Multi-Claude Program for interacting with GitHub APIs through Claude Desktop, allowing users to search repositories, manage issues, pull requests, repository settings, workflows, and collaborators.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

Enables issue search, creation, updates, comments, status transitions, and project listing in Jira, purpose-built for security incident management and SOC workflows.

MCP server for Jira Server/Data Center that enables issue retrieval, JQL search, comment posting, and Tempo worklog queries via the atlassian-python-api.

Enables interaction with Figma files through intelligent API access, providing navigation, asset extraction, and design token retrieval with 95% token-optimized compact tree output format.

A Model Context Protocol (MCP) server that provides tools for interacting with Jira. Enables Cursor and other MCP clients to fetch tickets, manage linked tickets, and update ticket status.

MCP server for seamless Jira integration with GitHub Copilot CLI, allowing natural language queries to search, view, and manage Jira tickets.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

Enhanced Figma MCP Server that exposes prototype flow data — screen lists, prototype connections, and full flow maps — via the Figma REST API. Designed as a replacement for the official Figma MCP server, adding prototype interaction layer so Claude Code can understand entire user flows from a single Figma URL.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.