- Comprehensive NCBI/PubMed literature search server
- Advanced features: analytics, caching, MeSH integration, related articles discovery
- Supports batch processing for all life sciences and biomedical research
- Production-ready with Redis caching and extensive documentation
- 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.
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
This MCP server enables LLMs to interact with OPNsense firewalls, allowing users to manage their network infrastructure through natural language. Users can:
Create and manage VLANs and network interfaces
Configure firewall rules with intelligent templates
Manage DNS blocklists for content filtering
Search and identify devices on the network
Deploy network configurations as Infrastructure as Code
Backup and restore firewall configurations
The server provides a secure, API-based integration that makes network administration more accessible while maintaining security best practices. It's designed as part of a larger vision for AI-assisted home infrastructure automation.
Added voice-mcp, a complete voice interaction server that supports speech-to-text, text-to-speech, and real-time voice conversations through local microphone, OpenAI-compatible APIs, and LiveKit integration.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
https://github.com/carsol/monarch-mcp-server🐍☁️ - MCP server providing read-only access to Monarch Money financial data, enabling AI assistants to analyze transactions, budgets, accounts, and cashflow data with MFA support.
Agent MCP is a powerful framework for creating multi-agent systems that collaborate through the Model Context Protocol. It enables developers to build complex applications by dividing work among specialized AI agents that can work in parallel while sharing context and knowledge through a centralized database.
## Summary
Adding Unified Diff MCP Server to the Community Servers section.
## Description
- **Beautiful HTML and PNG diff visualization** using diff2html
- **High-performance processing** with Bun runtime
- **Seamless integration** with filesystem edit_file dry-run output
- **Cross-platform support** (Windows/macOS/Linux)
- **Fixed filename output** for disk space efficiency
## Repository
https://github.com/gorosun/unified-diff-mcp
Following the contribution guidelines: alphabetical order maintained in Community Servers section.
- Included GXtract MCP server in the list, which integrates with VS Code and other editors.
- Provides tools for interacting with the GroundX platform for enhanced document understanding capabilities.
- Documentation link added for user reference: [sascharo.github.io/gxtract](https://sascharo.github.io/gxtract).
