About 🧠 mcp-core
mcp-core is a monorepo for shared backend services and core logic in a modular MCP ecosystem. It is intended for developers building natural-language-driven services that carry out tasks across tools such as Docker and Git.
Key features
- 01Shared backend services and core logic
- 02Reusable interfaces and utilities
- 03Modular MCP server development
- 04Standardized code, tests, and CI/CD
Use cases
- 01Building natural-language command services
- 02Adding MCP servers to a shared codebase
MCP support
It provides the backend foundation and core logic for a modular MCP ecosystem. Individual servers interpret natural-language commands and execute tasks.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README🧠 mcp-core
mcp-core is the central monorepo for backend services and core logic powering a modular MCP (Machine Command Protocol) ecosystem.
📌 Purpose
This monorepo serves as the foundation for building intelligent, language-driven backend services. Each server in mcp-core is responsible for interpreting natural language commands and executing relevant tasks (e.g., interacting with Docker, Git, or other dev tools).
Why a monorepo?
- ✅ Unified structure: Easier to maintain shared logic across multiple MCP servers
- 🔄 Reusability: Common interfaces, utils, and core services live in one place
- 📚 Consistency: Code style, testing, and CI/CD pipelines are standardized
- 🧩 Modular growth: New MCP servers can be added without fragmenting the ecosystem
Key Goals
- Use IA as infrastructure interface.
- Provide a scalable backend architecture for natural language-driven automation
- Enable seamless integration with tools like Visual Studio Code, Docker, Git, etc.
- Encourage modular development and clean separation of responsibilities
📁 Structure (example)
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.