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McpServer MCP Server

@Adriano-Severino

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Adriano-Severino

关于 McpServer MCP Server

暂无概览

#mcpserver#model-context-protocol#ai-integration

McpServer MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

McpServer MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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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