Typescript Mcp Roland

1 MIT

FreeCommunity

AI Systems

A very simple MCP server to explain who Roland is.

What is Typescript Mcp Roland

typescript-mcp-roland is a simple MCP server designed to explain who Roland is.

Use cases

Use cases include creating a simple demonstration server for educational purposes, developing a prototype for understanding MCP server functionality, and serving static content in a controlled environment.

How to use

To use typescript-mcp-roland, clone the repository, edit the server.ts and server.json files to set the correct serverHome path, run npm install to install dependencies, build the TypeScript code with npm run build, and configure a client like Windsurf using the provided snippet in server.json.

Key features

Key features include a straightforward setup process, the ability to read content from a markdown file (about.md), and compatibility with MCP enabled clients.

Where to use

typescript-mcp-roland can be used in educational contexts, particularly for teaching the basics of MCP servers and TypeScript.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Typescript Mcp Roland

typescript-mcp-roland is a simple MCP server designed to explain who Roland is.

Use cases

How to use

Key features

Key features include a straightforward setup process, the ability to read content from a markdown file (about.md), and compatibility with MCP enabled clients.

Where to use

typescript-mcp-roland can be used in educational contexts, particularly for teaching the basics of MCP servers and TypeScript.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

typescript-mcp-roland

A very simple MCP server to explain who Roland is.

The server is just reading the about.md in files/.

To make this work, you need to …

clone the repository
edit the server.ts and server.jsonto make sure serverHome is set to the correct path
run npm install to install the dependencies
run npm run build to build the TypeScript code
configure Windsurf (or any other MCP enabled client) with the snippet in the server.json file

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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