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.
@Adriano-Severino
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool 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.
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.
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.
/api/openapi.json.Use the `VerificarConectividade` tool by sending a POST request to `/api/execute` with tool name `VerificarConectividade` and no parameters.
Call the `ListModels` tool via `POST /api/execute` with tool name `ListModels` and no parameters.
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.
Use the `CadastrarAsync` tool with a JSON body containing `titulo`, `autor`, `anoPublicacao`, and `genero` fields, e.g., via `POST /api/execute`.
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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