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Build MCP tools quickly with a Python template, CLI, server, and HTTP API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-template" yet — see the docs or source repo.
I want to plan a new MCP tool based on mcp-template. Design the project structure, explain how to reuse the shared service registry, and outline the responsibilities of the CLI, MCP server, and HTTP API interfaces.
A developer-oriented scaffold plan with module breakdown and how the three interfaces should be organized.
Using the mcp-template approach, explain how to register the same service as a CLI command, an MCP capability, and an HTTP API endpoint, and suggest a consistent parameter design.
A multi-interface exposure plan that helps a team reuse the same service logic.
mcp-template mentions an included Gmail skill. Using that as a reference, explain how to extend a new MCP tool from an existing skill and summarize the reusable component boundaries.
An extension design brief that helps developers abstract reusable patterns from the sample skill.
Developers can use this Python template to quickly set up a base structure and organize capabilities through a shared service registry. It fits situations where the same logic needs to become a callable tool quickly.
When a team wants one service to support local CLI use, MCP clients, and web interfaces at the same time, this template can serve as a foundation for a unified interface design. This reduces duplicate implementation and improves consistency.
If you want to build a new tool quickly from an existing example, you can use the mentioned Gmail skill to infer structure and reuse patterns. It is suitable for creating similar MCP capabilities from a sample.
It is a batteries-included Python template for rapidly developing MCP tools. The description says it ships with a shared service registry and can be used as a CLI, MCP server, and HTTP API.
According to the description, it supports three main forms: a CLI, an MCP server, and an HTTP API. That means the same service logic can potentially be called through multiple entry points.
The known prerequisite is Python, because it is described as a Python template. The provided material does not specify installation steps, dependencies, or configuration requirements, so see the source repository.
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