Integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.

A bridging framework that integrates Knowledge Organization Infrastructure (KOI) with Model Context Protocol (MCP), enabling autonomous agents to exchange personality traits and expose capabilities as standardized tools.

MCP server for Hugeicons integration and documentation

This is a TypeScript-based MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons

A Model Context Protocol server that automatically reads the Claude Desktop configuration file and presents all available MCP services in an easy-to-copy format at the top of the tools list.

A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.

A configurable MCP server wrapper for Cursor that eliminates tool count limits when using the Model Context Protocol.

Model Context Protocol (MCP) server that interacts with Shopify Dev. This protocol supports various tools to interact with different Shopify APIs.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

A Model Context Protocol server that provides integration with Jira, allowing Large Language Models to interact with Jira projects, boards, sprints, and issues through natural language.

Provides integration with Github through the Model Context Protocol (MCP), allowing Large Language Models to interact with Github's repositories, issues, pull requests and search functionality.

This server implements the Model Context Protocol (MCP) to handle asynchronous tasks with real-time status tracking, robust error handling, and automatic resource management.

tpc-server

Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!

An MCP server to communicate with the App Store Connect API for iOS Developers

This server generates placeholder image URLs from various providers, supporting input validation and integration with desktop applications like Claude and Cursor.

Website Generator

Integrates Dify AI API to provide code generation for Ant Design components, supporting both text and image inputs with stream processing capabilities.

A server that enables creating and editing PowerPoint presentations programmatically through the Model Context Protocol, supporting features like adding slides, images, textboxes, charts, and tables.

MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently.

An MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.

Implements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.

An MCP server that provides tools for getting second opinions or detailed code reviews from Gemini 2.5 Pro by embedding file contents in prompts, allowing it to handle large codebases with extensive context.

A Model Context Protocol server that gives LLMs the ability to interact with Ethereum networks, manage wallets, query blockchain data, and execute smart contract operations through a standardized interface.

A ticket tracking system that integrates with AI assistants through the Model Context Protocol (MCP), allowing LLMs to manage tickets, comments, and track project tasks.