diff --git a/README.md b/README.md index 32c6e525..1a02c84e 100644 --- a/README.md +++ b/README.md @@ -273,6 +273,7 @@ Full coding agents that enable LLMs to read, edit, and execute code and solve ge - [rinadelph/Agent-MCP](https://github.com/rinadelph/Agent-MCP) 🐍 🏠 - A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities. - [stippi/code-assistant](https://github.com/stippi/code-assistant) πŸ¦€ 🏠 - Coding agent with basic list, read, replace_in_file, write, execute_command and web search tools. Supports multiple projects concurrently. - [tiianhk/MaxMSP-MCP-Server](https://github.com/tiianhk/MaxMSP-MCP-Server) 🐍 🏠 🎡 πŸŽ₯ - A coding agent for Max (Max/MSP/Jitter), which is a visual programming language for music and multimedia. +- [nesquikm/mcp-rubber-duck](https://github.com/nesquikm/mcp-rubber-duck) πŸ“‡ 🏠 ☁️ - An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel for explaining problems to various AI "ducks" and getting different perspectives - [VertexStudio/developer](https://github.com/VertexStudio/developer) πŸ¦€ 🏠 🍎 πŸͺŸ 🐧 - Comprehensive developer tools for file editing, shell command execution, and screen capture capabilities ### πŸ–₯️ Command Line @@ -563,6 +564,7 @@ Tools and integrations that enhance the development workflow and environment man - [vasayxtx/mcp-prompt-engine](https://github.com/vasayxtx/mcp-prompt-engine) 🏎️ 🏠 πŸͺŸοΈ 🐧 🍎 - MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine. - [vivekvells/mcp-pandoc](https://github.com/vivekVells/mcp-pandoc) πŸ—„οΈ πŸš€ - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more. - [VSCode Devtools](https://github.com/biegehydra/BifrostMCP) πŸ“‡ - Connect to VSCode ide and use semantic tools like `find_usages` +- [Webvizio/mcp](https://github.com/Webvizio/mcp) πŸŽ–οΈ πŸ“‡ - Automatically converts feedback and bug reports from websites and web apps into actionable, context-enriched developer tasks. Delivered straight to your AI coding tools, the Webvizio MCP Server ensures your AI agent has all the data it needs to solve tasks with speed and accuracy. - [WiseVision/mcp_server_ros_2](https://github.com/wise-vision/mcp_server_ros_2) 🐍 πŸ€– - MCP server for ROS2 enabling AI-driven robotics applications and services. - [Wooonster/hocr_mcp_server](https://github.com/Wooonster/hocr_mcp_server) 🐍 🏠 – A fastAPI-based FastMCP server with a Vue frontend that sends uploaded images to VLM via the MCP to quickly extract handwritten mathematical formulas as clean LaTeX code. - [xcodebuild](https://github.com/ShenghaiWang/xcodebuild) 🍎 Build iOS Xcode workspace/project and feed back errors to llm. @@ -589,6 +591,7 @@ Tools and integrations that enhance the development workflow and environment man Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows. - [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets. +- [avisangle/calculator-server](https://github.com/avisangle/calculator-server) 🏎️ 🏠 - A comprehensive Go-based MCP server for mathematical computations, implementing 13 mathematical tools across basic arithmetic, advanced functions, statistical analysis, unit conversions, and financial calculations. - [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents. - [DataEval/dingo](https://github.com/DataEval/dingo) πŸŽ–οΈ 🐍 🏠 🍎 πŸͺŸ 🐧 - MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing. - [datalayer/jupyter-mcp-server](https://github.com/datalayer/jupyter-mcp-server) 🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter. @@ -598,6 +601,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 πŸͺŸ 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations. - [mckinsey/vizro-mcp](https://github.com/mckinsey/vizro/tree/main/vizro-mcp) πŸŽ–οΈ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards. - [optuna/optuna-mcp](https://github.com/optuna/optuna-mcp) πŸŽ–οΈ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/). +- [phisanti/MCPR](https://github.com/phisanti/MCPR) 🏠 🍎 πŸͺŸ 🐧 - Model Context Protocol for R: enables AI agents to participate in interactive live R sessions. - [reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) 🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. - [subelsky/bundler_mcp](https://github.com/subelsky/bundler_mcp) πŸ’Ž 🏠 - Enables agents to query local information about dependencies in a Ruby project's `Gemfile`. - [Bright-L01/networkx-mcp-server](https://github.com/Bright-L01/networkx-mcp-server) 🐍 🏠 - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization. @@ -765,6 +769,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) πŸ“• ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering - [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) - Query and summarize your chat messages with AI prompts. +- [cameronrye/openzim-mcp](https://github.com/cameronrye/openzim-mcp) 🐍 🏠 - Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API. - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) πŸ“‡ 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation - [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients. - [GistPad-MCP](https://github.com/lostintangent/gistpad-mcp) πŸ“‡ 🏠 - Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to https://gistpad.dev and the [GistPad VS Code extension](https://aka.ms/gistpad). @@ -873,6 +878,7 @@ Provides the ability to handle multimedia, such as audio and video editing, play - [Bigsy/Clojars-MCP-Server](https://github.com/Bigsy/Clojars-MCP-Server) πŸ“‡ ☁️ - Clojars MCP Server for upto date dependency information of Clojure libraries - [blazickjp/arxiv-mcp-server](https://github.com/blazickjp/arxiv-mcp-server) ☁️ 🐍 - Search ArXiv research papers - [chanmeng/google-news-mcp-server](https://github.com/ChanMeng666/server-google-news) πŸ“‡ ☁️ - Google News integration with automatic topic categorization, multi-language support, and comprehensive search capabilities including headlines, stories, and related topics through [SerpAPI](https://serpapi.com/). +- [cameronrye/gopher-mcp](https://github.com/cameronrye/gopher-mcp) 🐍 🏠 - Modern, cross-platform MCP server enabling AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently. Features dual protocol support, TLS security, and structured content extraction. - [ConechoAI/openai-websearch-mcp](https://github.com/ConechoAI/openai-websearch-mcp/) 🐍 🏠 ☁️ - This is a Python-based MCP server that provides OpenAI `web_search` build-in tool. - [DappierAI/dappier-mcp](https://github.com/DappierAI/dappier-mcp) 🐍 ☁️ - Enable fast, free real-time web search and access premium data from trusted media brandsβ€”news, financial markets, sports, entertainment, weather, and more. Build powerful AI agents with Dappier. - [deadletterq/mcp-opennutrition](https://github.com/deadletterq/mcp-opennutrition) πŸ“‡ 🏠 - Local MCP server for searching 300,000+ foods, nutrition facts, and barcodes from the OpenNutrition database.