The Heroku Platform MCP Server is a service designed for large language models, providing the ability to interact with Heroku platform resources.

This project is an MCP server for the Metasploit framework, providing a bridge between large - language models (such as Claude) and the Metasploit penetration testing platform, and supporting the control of complex security testing workflows through a natural language interface.

This project is a collection of Model Context Protocol (MCP) servers specifically designed for DevOps tools and platforms. It enables large language models (LLMs) to directly interact with mainstream DevOps systems in a standardized way, achieving automated control of operations such as infrastructure, deployment pipelines, and monitoring.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

Stata-MCP is a tool that uses large language models (LLM) to assist users in completing Stata regression analysis. It supports multiple languages and platforms and provides a comprehensive guide from installation to advanced usage.

Container-MCP is a container - based secure tool execution platform that provides an isolated environment for large language models to run code, commands, and perform network operations, implementing a secure implementation of the MCP protocol.

This project integrates Graphistry's GPU-accelerated graph visualization platform with the Model Control Protocol (MCP), providing advanced graph analysis capabilities for AI assistants and large language models, and supporting multiple data formats and network analysis functions.

Paper Search MCP is an academic paper search and download server based on the MCP protocol, supporting the retrieval of papers from multiple platforms such as arXiv, PubMed, and bioRxiv, providing a standardized output format, and seamlessly integrating with large language models like Claude.

A Zhihu article automatic publishing tool that connects to large models through the MCP protocol to generate content and automatically publish it to the Zhihu platform.

This project is an MCP server designed for the Metasploit Framework, providing an integrated interface between large language models and the penetration testing platform, and supporting the control of complex security testing processes through natural language.

MetaTrader MCP Server is a Model Context Protocol server built on Python, aiming to achieve automated trading on the MetaTrader platform through AI large language models (LLMs). It supports integration with LLM tools such as Claude Desktop and Open WebUI and provides an HTTP server interface.

The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with the Triplewhale platform and implement functions such as data analysis through natural language.

An MCP server integrated with the MISP platform, providing threat intelligence capabilities for large language models, including malware detection, threat intelligence search, IoC submission, and report generation.

This project is an MCP server that connects large language models with the Frontapp customer communication platform, providing functions such as conversation management, contact management, and tag management, and supporting real - time updates and automated workflows.

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with the Triplewhale platform to achieve business data query and analysis functions through natural language.

This project is an MCP server that connects large language models with the Frontapp customer communication platform, providing functions such as conversation management, contact management, and tag management, and supporting real - time updates and automated workflows.

The Squad MCP server is a protocol service that connects the Squad product discovery platform with large language model applications, providing a rich toolset for creating, querying, and updating product strategy artifacts directly from an AI assistant.

The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) to the Triplewhale platform, enabling business data query and analysis through natural language.

A cross - platform desktop application based on Electron that connects to multiple large language models via the MCP protocol, providing a simple and efficient interaction interface.