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McpServer MCP Server

@Adriano-Severino

基本情報

カテゴリ

その他

トランスポート

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作者

Adriano-Severino

McpServer MCP Server について

概要はまだありません

McpServer MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

McpServer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is McpServer?

McpServer is a .NET implementation of the Model Context Protocol (MCP) that integrates Ollama AI models with a book management API. It provides HTTP endpoints to execute tools for book CRUD operations, AI model interaction, and system utilities, targeting developers and integrators who need a bridge between LLMs and structured data.

How to use McpServer?

Deploy using Docker Compose (recommended) or run locally with .NET 9. After startup, access the server at http://localhost:5500 and call tools via POST /api/execute. Integrate with Open WebUI by setting MCP_SERVER_URL environment variable.

Key features of McpServer?

  • Book CRUD tools: create, read, update books via API.
  • Ollama integration: list models and generate AI responses.
  • Connectivity and configuration diagnostic utilities.
  • HTTP API with OpenAPI documentation at /api/openapi.json.
  • Docker Compose orchestration for single-command deployment.
  • Works with Open WebUI for chat-based tool invocation.

Use cases of McpServer?

  • AI-powered book search and retrieval using natural language.
  • Automated book cataloging through LLM-generated prompts.
  • Educational demonstration of MCP protocol with a live API.
  • Combined AI response generation with real-time book database queries.

よくある質問

1

How to check connectivity between McpServer components?

Use the `VerificarConectividade` tool by sending a POST request to `/api/execute` with tool name `VerificarConectividade` and no parameters.

2

How to list available Ollama models through McpServer?

Call the `ListModels` tool via `POST /api/execute` with tool name `ListModels` and no parameters.

3

What are the system requirements for running McpServer?

At least 8 GB of RAM (16 GB recommended for larger AI models), 10 GB of disk space, and Docker installed. .NET 9 SDK is needed for local development.

4

How to add a new book using McpServer?

Use the `CadastrarAsync` tool with a JSON body containing `titulo`, `autor`, `anoPublicacao`, and `genero` fields, e.g., via `POST /api/execute`.

5

How to troubleshoot connectivity issues between services?

Ensure all Docker containers are running (`docker-compose ps`), check logs (`docker-compose logs`), and use the `VerificarConectividade` tool to verify component links.

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