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Awesome MCP Servers is a GitHub-curated list compiling various MCP (Model Context Protocol) servers that allow large language models to interface with external tools, files, APIs, databases, and more. These servers empower AI agents to perform tasks beyond simple text generation by enabling them to access structured resources and execute contextual operations. The list features both production-ready and experimental implementations contributed by the community.

Awesome MCP Servers

awesome-mcp-servers

A curated list of Model Context Protocol (MCP) servers enhancing AI capabilities with external tools and data.

Claude MCP Agents are AI-driven entities developed by Anthropic, leveraging the Model Context Protocol (MCP) to facilitate seamless integration with diverse data sources and applications. MCP serves as an open standard, enabling AI systems to connect efficiently with external APIs, tools, and live data, thereby enhancing their functionality and contextual awareness. By utilizing MCP, Claude agents can perform tasks such as retrieving information, executing workflows, and interacting with various platforms, all while maintaining a cohesive understanding of the context. This integration simplifies the development process, allowing for rapid deployment of AI capabilities across multiple domains.

Claude MCP Agents

claude-mcp-agents

AI agents utilizing Anthropic's Model Context Protocol to integrate seamlessly with various data sources and tools.

Hex Magic is an AI-driven feature within the Hex platform designed to enhance data analysis workflows. By integrating large language models (LLMs), it assists users in writing SQL queries, generating Python scripts, and creating visualizations based on natural language prompts. Hex Magic leverages metadata from databases and semantic models to provide accurate, context-aware code suggestions, enabling users to perform complex data analyses more efficiently. Additionally, it offers capabilities such as automatic error correction, chart modifications through simple commands, and seamless integration within collaborative, cloud-based environments.

Hex Magic

hex-magic

An AI-powered analytics assistant that streamlines data analysis by writing queries, building charts, and fixing bugs.

Reworkd is an advanced AI-driven platform designed to automate the entire web data extraction process. It leverages AI agents to scan websites, generate extraction code, execute data retrieval, validate results, and output structured data, all without manual intervention. Key features include automated code generation, self-healing scrapers that detect and repair data extraction issues, and compatibility with complex web structures such as pagination and dynamic content. Reworkd aims to simplify web data collection, reduce engineering effort, and provide reliable, scalable solutions for businesses and developers.

Reworkd

reworkd

AI-powered platform automating web data extraction with self-healing capabilities.

Graphlit is a serverless Retrieval-Augmented Generation (RAG)-as-a-Service platform designed to accelerate the development of AI-powered applications and agents that utilize unstructured data. It offers automated ETL processes, seamless integration with Large Language Models (LLMs), and supports multimodal data types, including text, audio, video, and images. Graphlit provides tools for data ingestion, text extraction, vector embeddings, and conversation history management, enabling developers to build advanced AI solutions efficiently.

Graphlit

graphlit

A serverless RAG-as-a-Service platform for building AI-powered applications and agents with unstructured data.

Hex is a modern platform that unifies data workflows by combining the functionalities of traditional data science notebooks with collaborative features. It supports multiple programming languages, including SQL and Python, and offers no-code options, enabling users to perform data exploration, analysis, and visualization within a single environment. Hex's AI-powered assistance aids in generating queries, writing code, and creating visualizations, enhancing productivity and facilitating seamless collaboration among data teams.

A collaborative data workspace integrating SQL, Python, and no-code tools to streamline data analysis and visualization.

Ask On Data is an innovative, open-source platform that leverages generative AI to revolutionize data engineering. By utilizing a chat-based interface, it enables users to perform Extract, Transform, Load (ETL) operations and create data pipelines using plain English commands. This approach eliminates the need for complex coding, making data engineering accessible to both technical and non-technical users. Ask On Data integrates with various data sources and employs advanced natural language processing to interpret user inputs, streamlining data migration, cleaning, and analysis processes.

Ask On Data

ask-on-data

An open-source, AI-powered chat-based ETL tool that simplifies data engineering tasks through natural language interactions.

Codel is an open-source AI agent that executes complex tasks in a sandboxed Docker environment, suitable for developers looking for a **self-sufficient agent** that can handle technical workflows. Codel operates by detecting next steps independently, whether it’s web scraping, data processing, or editing files. Codel’s unique ability to operate within Docker allows it to handle projects end-to-end with full autonomy, making it an ideal solution for developers who need an agent to manage tasks in a secure, isolated environment.

Codel

codel

An open-source, fully autonomous AI agent designed for complex projects within a Docker environment.