affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
1mcp-app/agent
The 1mcp-app/agent project is a unified Model Context Protocol (MCP) server implementation designed to aggregate multiple MCP servers into a single, consolidated server. This approach simplifies the management and interaction with various AI assistants by providing a single interface instead of requiring separate configurations for each MCP server. The project aims to reduce system resource usage by eliminating redundant server instances and streamlining configuration management across different AI clients such as Claude Desktop, Cherry Studio, Cursor, Roo Code, and Claude. Key features of the 1MCP server include a unified interface that aggregates multiple MCP servers, dynamic configuration reloading without the need for server restarts, asynchronous server loading with real-time capability updates, and comprehensive authentication and security measures. It also supports advanced filtering, pagination, request optimization, and built-in health monitoring endpoints for observability and system status checks. The project offers multiple installation methods, including precompiled binaries for various platforms (Linux, Windows, macOS) and an NPM package for Node.js environments. Users can add MCP servers to the unified server through simple commands and start the 1MCP server to have all MCP servers accessible via a single endpoint. The server supports integration with popular AI assistants by configuring them to connect to the 1MCP server endpoint. 1MCP also provides a set of commands for managing MCP server configurations, including adding, removing, listing, enabling, disabling, and updating MCP servers. It supports app integration commands for consolidating configurations from other MCP apps and discovering MCP servers from installed applications. The project emphasizes ease of use, resource efficiency, security, and extensibility, making it a valuable tool for developers and users working with multiple AI models and MCP servers.
https://github.com/1mcp-app/agent
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