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MCP Server em TypeScript

@thaydeveloper

Repository

Basic information

Category

Other

Transports

stdio

Author

thaydeveloper

About MCP Server em TypeScript

No overview available yet

MCP Server em TypeScript config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-thaydeveloper": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-server",
        "."
      ]
    }
  }
}

MCP Server em TypeScript tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server em TypeScript?

MCP Server em TypeScript implements a server compatible with the Model Context Protocol (MCP). It provides endpoints for listing models and generating sample completions. It is intended for developers who want to experiment with or host an MCP-compliant service.

How to use MCP Server em TypeScript?

Install dependencies with npm install, then run in development mode with npm run dev. For production, build with npm run build and start with npm start. A Docker image can be built using docker build -t mcp-server . and run with docker run -p 3000:3000 mcp-server. The server is available at http://localhost:3000.

Key features of MCP Server em TypeScript

  • Implements the Model Context Protocol (MCP).
  • Lists available models via GET /v1/models.
  • Generates sample responses via POST /v1/completions.
  • Can be run locally or inside a Docker container.

Use cases of MCP Server em TypeScript

  • Testing MCP client integrations against a local server.
  • Prototyping AI model endpoints with a sample completion API.
  • Learning the Model Context Protocol through hands-on experimentation.

Frequently asked questions

1

What endpoints does the server expose?

Two endpoints: `GET /v1/models` (list models) and `POST /v1/completions` (generate a sample response).

2

How can I run the server in production?

Build the project with `npm run build` and then start it with `npm start`. Alternatively, use the provided Docker setup.

3

What is the default port and URL?

The server runs on port 3000 and is accessible at `http://localhost:3000`.

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