mcpField
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🧠 Typescript MCP Server Boilerplate

🧠 Typescript MCP Server Boilerplate

Local
github.com/siavashdelkhosh81Developer Tools3Updated 80w ago

About 🧠 Typescript MCP Server Boilerplate

Typescript MCP Server Boilerplate is a starter template for developers who want to begin building an MCP server with TypeScript. The README describes its purpose and dependency installation, without detailing server capabilities.

Key features

  1. 01Provide a TypeScript MCP server starter
  2. 02Clone the repository and install dependencies

Use cases

  1. 01Start a custom TypeScript MCP server project
  2. 02Install dependencies and begin development from the template

MCP support

This project is a TypeScript template for building an MCP server; the README does not specify tools or resources that a resulting server exposes to clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

🧠 Typescript MCP Server Boilerplate

Easy-to-use boilerplate for quickly starting your own Model Context Protocol (MCP) server using TypeScript.

📥 Installation

Clone the repository and install dependencies:

git clone https://github.com/siavashdelkhosh81/typescript-mcp-server-boilerplate
cd typescript-mcp-server-boilerplate
yarn

🤝 Contributing

Contributions are welcome! Feel free to open issues, suggest enhancements, or submit pull requests.

If this boilerplate helped you, consider supporting the development:

☕ Buy me a coffee!

📜 License

This project is licensed under the MIT License – see the LICENSE file for details.

Comments

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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.