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MCP Server: RepairWorld

MCP Server: RepairWorld

Local
github.com/nikhilpurwantBusiness & Marketing0Updated 81w ago

About MCP Server: RepairWorld

MCP Server: RepairWorld exposes repair-request API operations as structured tools for AI models and MCP-compatible agents. It supports creating requests, retrieving one by ID, and listing requests, with configurable API URL and authentication key.

Key features

  1. 01Create repair requests
  2. 02Retrieve a request by ID
  3. 03List repair requests
  4. 04Configure API URL and authentication key

Use cases

  1. 01Submit a repair request through an AI agent
  2. 02Look up a request by ID
  3. 03Review the list of repair requests

MCP support

Exposes tools to MCP clients for creating, retrieving, and listing repair requests through a repair request API.

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

MCP Server: RepairWorld

This is an MCP (Model Context Protocol) server that exposes tools for interacting with a repair request API. It allows AI models to create, retrieve, and list repair requests using structured tools.

🚀 Features

  • ✅ MCP-compliant server built with fastmcp
  • 🔧 Tools to:
    • Create a repair request
    • View a repair request by ID
    • View all repair requests
  • 🌐 Customizable API base URL and authentication key via CLI
  • 🧩 Easy to integrate with Google Agent Development Kit (ADK), Claude or other MCP-compatible agents

📦 Installation

You can install this package from PyPI:

pip install mcp-server-repairworld

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.