- Comprehensive TypeScript MCP server for Jira with 20+ tools
- Complete project management workflow coverage
- Unique features: universal field auto-detection, Czech/localization support
- Advanced functionality: sprint management, attachments, batch operations
- Professional documentation and TypeScript implementation
- Created by Tomáš Gregorovič (LinkedIn: tomáš-g-8423b61a2)
Differentiators from existing Jira servers:
- Most comprehensive tool set (20+ vs basic CRUD)
- Universal field auto-detection (works with any Jira instance)
- Full localization support for non-English Jira instances
- Advanced date parsing with multiple formats
- Professional TypeScript codebase with comprehensive documentation
- Add mcp-server-aws-sso to Cloud Platforms category
- Add mcp-server-atlassian-bitbucket to Developer Tools category
- Add mcp-server-atlassian-confluence to Developer Tools category
- Add mcp-server-atlassian-jira to Developer Tools category
These servers provide integrations for AWS SSO authentication and
Atlassian suite (Bitbucket, Confluence, Jira) for AI assistants.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This MCP server can send desktop notifications with sound effect when agent tasks are completed.
🥩 Features
- Send system desktop notifications after agent tasks completion
- Play alert sounds to grab user attention, with sound file inside.
- Cross-platform support (Windows, macOS, Linux)
- Based on standard MCP protocol, integrates with various LLM clients
- Add ztxtxwd/feishu-mcp-server to Communication section across all README files
- Include TypeScript, cloud, and local deployment icons
- Provide localized descriptions highlighting OAuth authentication and document management features
- Maintain alphabetical order within Communication category
AI Distiller is an MCP server that extracts essential code structure from large codebases into AI-digestible format, helping AI agents write code that correctly uses existing APIs on the first attempt. It removes non-essential elements while preserving semantic information, supporting 12+ languages via tree-sitter.
MCP Telephony server for automating voice calls with Speech-to-Text and Speech Recognition to summarize call conversations. Send and receive SMS, detect voicemail, and integrate with Vonage APIs for advanced telephony workflows.
Content Core is a Python MCP server that provides intelligent content extraction from multiple sources including URLs, documents, videos, and audio files. Features auto-engine selection, supports web pages, PDFs, Word docs, YouTube transcripts, and returns structured JSON responses.
Add joelio/stocky to the Search & Data Extraction section
- MCP server for searching royalty-free stock photography
- Supports Pexels and Unsplash APIs with multi-provider search
- Features rich metadata, pagination, and async performance
- Enables AI assistants to find and access high-quality images
- Python implementation with cloud and local deployment support
