Winx Agent alternatives

1

Code Assistant

AI coding assistant with multi-modal tool execution and MCP integration

Code Assistant is an AI-powered coding assistant written in Rust that provides both command-line and graphical user interfaces for autonomous code analysis and modification. It supports multi-modal tool invocation, real-time streaming, and session-based project management. The tool features full Model Context Protocol (MCP) compatibility, enabling seamless integration with MCP clients, and offers advanced project-level configuration and formatting capabilities.

110 18 MCP

2

wcgw

Local shell and code agent server with deep AI integration for Model Context Protocol clients.

wcgw is an MCP server that empowers conversational AI models, such as Claude, with robust shell command execution and code editing capabilities on the user's local machine. It offers advanced tools for syntax-aware file editing, interactive shell command handling, and context management to optimize AI-driven workflows. Key protections are included to safeguard files, prevent accidental overwrites, and streamline large file handling, ensuring smooth automated code development and execution.

616 55 MCP

3

MCP Claude Code

Claude Code-like functionality via the Model Context Protocol.

Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

281 33 MCP

4

Serena

Coding agent toolkit with IDE-like semantic code retrieval and editing for LLM integration.

Serena is a free and open-source coding agent toolkit that enhances large language models with advanced semantic code retrieval and editing tools. It enables integration through the Model Context Protocol (MCP), allowing seamless operation with various coding agents, IDEs, and interfaces. Serena extracts code entities at the symbol level, supports context-aware operations, and improves token efficiency for coding tasks. The tools can be incorporated into diverse LLM-driven environments for more efficient and precise code editing.

15,643 1,038 MCP

5

Neovim MCP Server

Connect AI assistants to Neovim via the Model Context Protocol.

Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

20 3 MCP

6

VideoDB Agent Toolkit

AI Agent toolkit that exposes VideoDB context to LLMs with MCP support

VideoDB Agent Toolkit provides tools for exposing VideoDB context to large language models (LLMs) and agents, enabling integration with AI-driven IDEs and chat agents. It automates context generation, metadata management, and discoverability by offering structured context files like llms.txt and llms-full.txt, and standardized access via the Model Context Protocol (MCP). The toolkit ensures synchronization of SDK versions, comprehensive documentation, and best practices for seamless AI-powered workflows.

43 8 MCP

7

Mifos MCP - Model Context Protocol (MCP)

Enabling AI agents to access and operate on financial data in the Mifos X ecosystem using Model Context Protocol.

Mifos MCP provides a Model Context Protocol (MCP) interface tailored for the Mifos X ecosystem, empowering AI agents to interact with financial data and perform operations within the platform. It offers a Java (Quarkus) implementation, with easy configurability via environment variables and native executable support. Developers can test and debug deployments with the MCP Inspector, and detailed instructions ensure smooth setup and integration. Comprehensive examples demonstrate practical banking and financial automation workflows.

17 12 MCP

8

Vibe Check MCP

Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.

Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.

315 36 MCP

9

Agent-MCP

Multi-Agent Collaboration Protocol for Coordinated AI Software Development

Agent-MCP enables advanced multi-agent orchestration for AI-driven software development, allowing specialized agents to collaborate via a shared persistent context. Its system manages parallel execution, persistent memory graphs, and real-time task coordination with robust visualization tools. Designed for experienced developers, it features intelligent task management and conflict prevention for scalable and complex codebases. The protocol emphasizes maintaining and sharing context among agents through standardized mechanisms.

1,021 124 MCP

10

Mastra

A TypeScript framework for building scalable AI-powered agents and applications.

Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.

18,189 1,276 MCP

11

just-mcp

A production-ready MCP server for Justfile command integration with LLMs.

just-mcp delivers an MCP (Model Context Protocol) server that enables seamless integration between AI assistants and the Just command runner. It provides functionality for AI models to discover, execute, and introspect Justfile recipes using a standardized protocol. The system emphasizes context abstraction, safer command execution compared to raw bash, and user-friendly interfaces for both agents and humans. Built-in safety and validation features further enhance reliability and security.

31 5 MCP

12

Desktop Commander MCP

AI-powered local tool for managing files, processes, and terminals using Model Context Protocol.

Desktop Commander MCP enables users to search, manage files, run terminal commands, and automate development tasks through Model Context Protocol (MCP). It offers interactive process management, in-memory code execution, advanced file operations, pattern-based file editing, and comprehensive audit logging. Built on top of MCP Filesystem Server, it integrates multiple developer tools within a conversational interface, supporting enhanced process control and efficient workflow automation.

4,883 541 MCP

13

nerve

The Simple Agent Development Kit for LLM-based automation with native MCP support

Nerve provides a platform for building, running, evaluating, and orchestrating large language model (LLM) agents using declarative YAML configurations. It supports both client and server roles for the Model Context Protocol (MCP), allowing seamless integration, team collaboration, and advanced agent orchestration. With extensible tool support, benchmarking, and LLM-agnostic handling via LiteLLM, it enables programmable and reproducible workflows for technical users.

1,278 109 MCP

14

Bifrost

VSCode Dev Tools exposed via the Model Context Protocol for AI tool integration.

Bifrost is a Visual Studio Code extension that launches a Model Context Protocol (MCP) server, enabling external AI coding assistants to access advanced code navigation, analysis, and manipulation features from VSCode. It exposes language server capabilities, symbol search, semantic code analysis, and refactoring tools through MCP-compatible HTTP and SSE endpoints. The extension is designed for seamless integration with AI assistants, supporting multi-project environments and configuration via JSON files.

184 33 MCP

15

MCP Rubber Duck

A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

56 7 MCP

16

Filestash

A modular, extensible file manager with robust API and LLM Model Context Protocol (MCP) integration.

Filestash is a versatile file manager that supports a wide range of backends including FTP, SFTP, WebDAV, S3, SMB, and popular cloud storage services such as Dropbox and Google Drive. It features a plugin-driven architecture and workflow engine for customization and automation and offers built-in viewers for images, music, and video. Filestash provides an API interface and explicit LLM integration via Model Context Protocol (MCP), enabling advanced file management automation and AI-driven workflows.

13,013 930 MCP

17

Wazuh MCP Server

Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.

Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.

137 35 MCP

18

LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

19

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

20

AgentMail Toolkit

Integrates agent frameworks and protocols with AgentMail API for seamless interoperability.

AgentMail Toolkit provides seamless integration of popular agent frameworks and protocols, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Vercel AI SDK, with the AgentMail API. It supports both Python and Node environments, enabling developers to build and manage agent workflows across different platforms and standards.

32 7 MCP

21

Wren Engine

Semantic Engine for MCP Clients and AI Agents

Wren Engine is a semantic engine designed for Model Context Protocol (MCP) clients and AI agents. It enables precise access to enterprise data by providing semantic understanding, trusted aggregations, and business term clarity across numerous data sources. With a focus on accurate context, calculation, and governance, it equips AI systems to interact safely and meaningfully with complex enterprise data. As part of the MCP ecosystem, it connects LLMs with databases and enterprise tools through standardized protocols.

496 138 MCP

22

Shrimp Task Manager

Intelligent task management for AI-powered development workflows.

Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

1,868 230 MCP

23

21st.dev Magic AI Agent

Instantly create and enhance UI components through natural language in your IDE.

21st.dev Magic AI Agent enables developers to generate, preview, and integrate modern UI components using natural language commands directly within popular IDEs. It leverages the Model Context Protocol for seamless interoperability, supporting automated installation and configuration across tools like VSCode, Cursor, Windsurf, and Cline. With a vast library based on 21st.dev assets and advanced features such as TypeScript support and real-time previews, it streamlines the UI development workflow. The solution also supports customization, enhancements, and integration of brand assets through SVGL.

3,919 260 MCP

24

Apache APISIX

Dynamic, high-performance API Gateway with AI and Model Context Protocol support

Apache APISIX is a real-time, high-performance API gateway that offers advanced traffic management features such as load balancing, dynamic routing, and authentication. It serves as both a traditional API gateway and an AI Gateway, supporting seamless proxying for AI workloads and managing LLM traffic. Notably, it includes the 'mcp-bridge' plugin, which allows for integration and conversion of stdio-based Model Context Protocol (MCP) servers to scalable HTTP SSE services, enabling robust context management for AI applications.

15,837 2,707 MCP

25

Sourcerer MCP

Semantic code search & navigation MCP server for efficient AI agent context retrieval.

Sourcerer MCP provides a Model Context Protocol (MCP) server that enables AI agents to perform semantic code search and navigation. By indexing codebases at the function, class, and chunk level, it allows agents to retrieve only the necessary code snippets, greatly reducing token consumption. The tool integrates with Tree-sitter for language parsing and OpenAI for generating code embeddings, supporting advanced contextual code understanding without full file ingestion.

95 11 MCP

26

Agentic Long-Term Memory with Notion Integration

Production-ready agentic long-term memory and Notion integration with Model Context Protocol support.

Agentic Long-Term Memory with Notion Integration enables AI agents to incorporate advanced long-term memory capabilities using both vector and graph databases. It offers comprehensive Notion workspace integration along with a production-ready Model Context Protocol (MCP) server supporting HTTP and stdio transports. The tool facilitates context management, tool discovery, and advanced function chaining for complex agentic workflows.

4 2 MCP

27

VS Code MCP Server

Connect Claude and other MCP clients to code directly in VS Code.

VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

280 54 MCP

28

Higress

AI Native API Gateway with Built-in Model Context Protocol (MCP) Support

Higress is a cloud-native API gateway built on Istio and Envoy, extensible with Wasm plugins in Go, Rust, or JS. It enables unified management and hosting of both LLM APIs and MCP Servers, allowing AI agents to easily call tools and services via standard protocols. The platform supports seamless conversion of OpenAPI specs to remote MCP servers and provides robust AI gateway features for enterprise and mainstream model providers. Higress is widely adopted in production environments, notably within Alibaba Cloud's core AI applications.

6,814 878 MCP

29

joinly.ai

Enable AI agents to join and participate in your meetings.

joinly.ai is an open-source middleware that allows AI agents to join, interact, and execute tasks during live video calls across platforms like Zoom, Google Meet, and Microsoft Teams. Leveraging an MCP (Model Context Protocol) server, it provides essential meeting tools, modular integrations for TTS/STT, and supports any LLM provider. It enables real-time conversational flow, ensuring natural interactions and privacy-focused, self-hosted deployment.

393 48 MCP

30

CrateDocs MCP

MCP server for Rust crate documentation lookup and search

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

9 2 MCP

31

Raygun MCP Server

Access and interact with Raygun crash reporting data via Model Context Protocol for AI assistants.

Raygun MCP Server provides a remote MCP endpoint that enables AI assistants to securely access, analyze, and manage crash reporting and real user monitoring data from Raygun through natural language conversations. It supports various AI tools and assistants, allowing users to investigate errors, monitor deployments, track user sessions, and gather performance insights seamlessly. Integration is streamlined with step-by-step guides for connecting through multiple popular AI environments.

19 13 MCP

32

MCP-NixOS

Stop AI hallucinations about NixOS packages—get accurate, real-time information.

MCP-NixOS is a Model Context Protocol server designed to provide AI assistants with accurate, up-to-date information about NixOS packages, configuration options, Home Manager settings, and nix-darwin configurations. By interfacing with NixOS and NixHub.io, it enables detailed package search, version history, and configuration queries, drastically reducing AI-generated inaccuracies. It works cross-platform and can be deployed via different methods including uvx, Nix, and Docker.

328 17 MCP

33

Endor

Instant, private, sandboxed environments for popular services with seamless AI agent integration.

Endor provides on-demand, ephemeral local environments for databases and other services, running securely in isolated VMs. It includes a Model Context Protocol (MCP) mode, enabling AI agents and tools to launch and manage services programmatically and securely. Users can deploy services like MariaDB, PostgreSQL, and more, with no complex system setup required. Integration guides and support for IDEs and agent tools like Claude Code, Cursor, and VSCode are provided.

25 5 MCP

34

Package Registry MCP Server

MCP server for searching and retrieving package registry information.

Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

28 6 MCP

35

Mindpilot MCP

Visualize and understand code structures with on-demand diagrams for AI coding assistants.

Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

61 8 MCP

36

MCP Text Editor Server

A line-oriented text editor server implementing the Model Context Protocol for efficient and safe file editing.

MCP Text Editor Server provides line-based text file editing capabilities through a Model Context Protocol-compliant API. It enables efficient partial file access, robust conflict detection, and multi-file atomic operations, optimized for integration with large language model tools. With flexible character encoding support and concurrent editing safeguards, it is suited for collaborative and automated environments requiring reliable and token-efficient file manipulation.

175 22 MCP

37

Redis MCP Server

Natural language interface for managing and querying Redis via the Model Context Protocol.

Redis MCP Server provides an MCP-compliant interface for agentic applications to interact with Redis using natural language commands. It enables AI-driven workflows to store, search, and manage structured or unstructured data efficiently. The server integrates seamlessly with any MCP client, supporting full Redis data structures and advanced querying. It is designed for scalable, high-performance data operations and native support for Azure authentication.

325 75 MCP

38

investor-agent

Comprehensive Financial Analysis Server for LLMs via Model Context Protocol

investor-agent is an MCP server designed to deliver in-depth financial insights and market analysis to Large Language Models. It leverages real-time data sources and advanced analysis tools to provide information such as market movers, ticker data, options chains, historical prices, financial statements, ownership structure, and sentiment indices. The platform features robust caching and error handling for reliable and efficient data delivery while supporting extensible financial analytics with optional technical indicators and intraday data.

286 51 MCP

39

CICADA

Structured, contextual code intelligence for AI assistants on Elixir projects.

CICADA is an MCP server that provides AI assistants with AST-level, structured access to Elixir codebases. It enables code analysis, semantic search, module and function discovery, and git/PR attribution for deeper contextual understanding. CICADA supports multiple editors and offers features like dependency mapping, dead-code detection, and local indexing with strong privacy guarantees.

11 2 MCP

40

CockroachDB MCP Server

Natural language interface for managing CockroachDB via MCP protocol

CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

6 3 MCP

41

mcp-shell

A secure Model Context Protocol (MCP) server for AI-driven shell command execution.

mcp-shell enables AI assistants and MCP clients to securely execute shell commands via the standardized Model Context Protocol. Built in Go and leveraging the official MCP SDK, it facilitates structured, auditable, and context-aware access to shell environments. The server emphasizes security through Docker isolation, command validation, resource limits, and comprehensive audit logging.

44 8 MCP

42

MCP Backup Server

Instant backup and restore solution for AI agents and code editors with context preservation.

MCP Backup Server is a specialized server that enables instant and contextual backups for AI agents and code editing tools. It preserves agent context and reasoning, providing targeted and minimal backups without the complexity of traditional version control systems. The tool is designed for situations requiring quick, context-aware safety backups, supporting both file and folder operations and restore functions. It integrates with editors like Cursor and Windsurf using the Model Context Protocol.

12 5 MCP

43

Rust Docs MCP Server

Serving up-to-date Rust crate documentation as an MCP server for coding assistants.

Rust Docs MCP Server provides AI coding assistants with a focused tool to query current documentation for specific Rust crates. It runs as a standard MCP server over stdio, enabling context-driven semantic searches and LLM-generated answers based only on retrieved documentation. It fetches crate docs, generates embeddings, and leverages OpenAI APIs for accurate and relevant code support, with support for caching and multi-crate operation.

208 30 MCP

44

Developer MCP Server

A powerful MCP server for developer tools including file editing, shell commands, and screen capture.

Developer MCP Server is a general purpose server that implements the Model Context Protocol, offering tools for developers such as file editing, shell command execution, and screen capturing. Built with the rmcp crate, it provides secure and cross-platform operations with file access controls that respect gitignore patterns. The server integrates seamlessly with compatible MCP clients like Claude Desktop and supports advanced workflow management features. Security, workflow branching, and context preservation make it suitable for complex problem-solving and development automation.

16 7 MCP

45

MCPR

Stateful Human-AI Collaboration and Persistent R Sessions

MCPR enables AI agents to establish interactive, persistent sessions within a live R environment, allowing for stateful, multi-step analytical workflows. By leveraging JSON-RPC 2.0 over `nanonext` sockets, it facilitates robust, asynchronous communication and exposes R session functionalities as modular tools. The framework includes session management, service discovery, and advanced plot rendering capabilities, making it ideal for collaborative and iterative data analysis.

16 5 MCP

46

MCP Notify Server

Send desktop notifications with sound for completed agent/LLM tasks using the MCP protocol.

MCP Notify Server provides system desktop notifications and sound alerts when AI agent tasks or LLM jobs finish. Built on the standard Model Context Protocol, it is cross-platform and designed for smooth integration with clients like Claude Desktop, Cursor, and VSCode. This tool leverages the Apprise API for notification delivery and includes configuration details for easy adoption across popular AI/LLM development environments.

39 9 MCP

47

CLI MCP Server

A secure MCP server for controlled command-line operations.

CLI MCP Server provides a secure implementation of the Model Context Protocol (MCP) for executing command-line operations with robust security features. It enables controlled CLI access by enforcing command and flag whitelisting, path validation, and shell operator restrictions, making it suitable for integration with large language model applications. Designed for configurable deployment, it supports detailed error reporting, execution timeouts, and strict working directory controls.

155 28 MCP

48

Mattermost MCP Host

Connects Mattermost to MCP servers, enabling AI agent-powered tool orchestration within chat.

Mattermost MCP Host integrates the Model Context Protocol (MCP) with Mattermost, utilizing a LangGraph-based AI agent to facilitate seamless user interaction and dynamic tool execution directly in chat. It supports integration with multiple MCP servers, automatically discovers available tools, and allows users to issue commands or natural language requests. Conversational context is maintained in threads, and users can interact directly with MCP servers to manage resources and capabilities.

27 16 MCP

49

Armor Crypto MCP

Unified crypto API for integrating AI agents with multi-chain blockchain tools

Armor Crypto MCP provides a centralized solution for integrating AI agents with the crypto ecosystem, supporting wallet management, swaps, staking, and a variety of trading operations across several blockchains. It streamlines access to Solana in its alpha version and aims to support a wide range of blockchains including Ethereum, Avalanche, and Bitcoin. The platform enables agents to perform complex crypto operations using standardized interfaces and seamless configuration with agentic frameworks such as Claude Desktop, Cline, and n8n. Designed for ease of integration and multi-chain compatibility, it offers advanced features like DCA, stop loss, and cross-chain transactions.

184 23 MCP

50

Carbon Voice MCP Server

MCP server integration for Carbon Voice's conversational AI and voice messaging platform.

Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.

4 4 MCP

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