Provides access to the endoflife.date API to query support and end-of-life information for thousands of software products. It enables users to retrieve detailed release schedules, lifecycle data, and product categories through natural language.
Endor lets your AI agents run services like MariaDB, Postgres, Redis, Memcached, Alpine, or Valkey in isolated sandboxes. Get pre-configured applications that boot in less than 5 seconds, with direct AI agent integration for instant development and testing environments.
An MCP server for Arma Reforger and Enfusion engine modding that enables users to create mods, search API classes, and generate scripts through natural language. It provides a comprehensive suite of tools for scaffolding addons, generating prefabs, and building projects using the Workbench CLI.
Enables Twitter engagement intelligence by monitoring accounts and topics to identify high-value interaction opportunities. It allows users to post strategic replies, manage a reply queue, and track performance analytics directly through Claude Code.
Provides AI assistants with structured access to an organization's engineering standards, practices, and processes through searchable knowledge base with CRUD operations and multi-dimensional organization.
A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.
MCP is a server project designed for developers to create and manage their applications efficiently.\ \ how to use MCP? \ To use MCP, clone the repository from GitHub, configure the server settings, and run the server command to start your application.\ \ key features of MCP? \ Easy setup and configuration for server management\ Support for various development tools and frameworks\ Active community support and documentation\ \ use cases of MCP? \ 1. Hosting web applications\ 2. Managing backend services for mobile apps\ 3. Developing and testing APIs\ \ FAQ from MCP? \ Is MCP suitable for production use? \ \u003e Yes! MCP is designed to be robust and can be used in production environments.\ \ How can I contribute to MCP? \ \u003e You can contribute by submitting issues or pull requests on the GitHub repository.\ \ What programming languages does MCP support? \ \u003e MCP is flexible and can support multiple programming languages depending on the configuration.
The 'Blast Radius' detector for AI Agents. Prevent regressions using Git history and organizational memory.
Engram MCP provides persistent, cross-session memory for AI agents by automatically encoding errors, decisions, and discoveries during development sessions. It enables local, intelligent recall and automated context management to help AI learn from experience and avoid recurring mistakes.
Enhanced development environment with MCP servers, UV package manager, and Open Interpreter
Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.
Integrates voidtools Everything search engine with AI assistants to provide lightning-fast file search, GitHub integration, intent-based code research, and spec-driven development tools for Windows.
A comprehensive Model Context Protocol server that provides over 50 file and system management tools for AI models, including navigation, file operations, search, compression, and system information capabilities.
An advanced MCP server that provides interactive feedback mechanisms with support for various feedback types, multi-language capabilities, and team collaboration features for AI tools like Cursor, Cline, and Windsurf.
Enables semantic code search across local projects and Git repositories using AI embeddings with ChromaDB. Supports both OpenAI and local Ollama models for private, enterprise-ready code analysis and similar code discovery.
Provides comprehensive data insights into enterprise operations, including company trends, financing history, market rankings, and sentiment analysis. It enables users to perform keyword-based searches and evaluate business scale, tax qualifications, and competitive project profiles.
Entroly is a high-performance context engineering engine that optimizes AI coding agent context windows through information-theoretic compression and reinforcement learning. It gives your AI 100% codebase visibility while reducing token consumption by an average of 78%.It's learns fully autonomously.
Provides access to EPA's Air Quality System API with 31 tools for querying air quality data, monitoring sites, and pollution measurements across the United States through natural language.
公开目录未提供摘要。
A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%
