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Mcpc

MCP Server

Build agentic MCP servers with composable tools

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Updated Jul 15, 2025

About

Mcpc is an SDK for creating and customizing Model Context Protocol servers. It lets you compose existing MCP tools, fine‑tune them, and orchestrate multi‑agent systems for powerful, interoperable AI workflows.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

mcpc – MCP Server Template Generator

mcpc is a lightweight command‑line utility that automates the creation of fully‑structured MCP (Model Context Protocol) server projects. By generating a ready‑to‑use scaffold in either TypeScript or Python, it eliminates the repetitive boilerplate that developers normally spend time on when starting a new MCP service. This saves valuable development hours and ensures each project adheres to the official MCP documentation, reducing integration friction with AI assistants such as Claude.

The tool produces a complete project layout that includes configuration files, dependency manifests, and build scripts tailored to the chosen language and package manager. For TypeScript it creates a , build scripts, and pre‑commit hooks, while the Python variant sets up a virtual environment, , and a test harness that can verify server functionality without needing to invoke Claude. By integrating with package managers like pnpm, yarn, npm, or uv, mcpc guarantees that the generated project is immediately ready for local development and CI pipelines.

Key capabilities of mcpc include:

  • Language flexibility – choose between TypeScript or Python, with optional package manager selection.
  • Automated dependency handling – dependencies are installed automatically and system requirements validated before scaffolding completes.
  • Git initialization – a fresh repository is created with a sensible and starter README, streamlining version control from day one.
  • Testing support – Python projects expose a flag to run the server in a lightweight mode, enabling quick sanity checks before integrating with Claude.
  • CLI‑friendly integration – the generated server can be launched directly from the command line, and sample configuration snippets are provided for adding the server to Claude’s desktop integration file.

Developers will find mcpc especially useful in scenarios such as:

  • Rapid prototyping of custom data‑access tools that need to expose resources or prompts via MCP.
  • Building internal tooling where multiple teams require a consistent server structure across languages.
  • Educational or demo projects that showcase MCP concepts without the overhead of manual setup.

By handling scaffolding, dependency resolution, and best‑practice configuration in a single command, mcpc empowers developers to focus on implementing business logic and AI interactions rather than plumbing. Its clear, modular project structure also makes onboarding new contributors straightforward, while the included test harness ensures that any changes to the server’s logic can be validated locally before deployment.