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MCP Server for ReportServer Java Application

@diplinfmarkodrews

基本信息

分类

AI 与智能体

传输方式

stdio

作者

diplinfmarkodrews

关于 MCP Server for ReportServer Java Application

Agent & MCP Server for the ReportServer using RPC interface

MCP Server for ReportServer Java Application 配置

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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

MCP Server for ReportServer Java Application 工具

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概览

What is MCP Server for ReportServer Java Application?

An MCP (Model Context Protocol) server implementation that connects to a Java ReportServer application, providing a chat agent interface for report management and generation. It uses .NET 9.0 with Aspire orchestration, Microsoft Extensions AI SDK, Ollama for AI models, and Qdrant for vector search—intended for developers building AI-powered reporting tools.

How to use MCP Server for ReportServer Java Application?

Start the development environment by navigating to the RSChatApp.AppHost directory and running dotnet run. This launches all containerized services (MCP server, Blazor chat web app, Ollama, Qdrant) orchestrated via .NET Aspire. Access the Aspire dashboard (default http://localhost:15986) and the chat web interface (default http://localhost:5123) to interact. For a quick functional test, run the provided test-mcp-server.sh script.

Key features of MCP Server for ReportServer Java Application

  • Uses official Microsoft Extensions AI SDK
  • Full .NET 9.0 integration with Aspire orchestration
  • Direct ReportServer RPC integration
  • Comprehensive logging and error handling

Use cases of MCP Server for ReportServer Java Application

  • Query available reports through an AI-powered chat interface
  • Generate and export reports by conversing with the AI assistant
  • Manage report tree and properties via natural language requests
  • Integrate report functionality into VS Code via independent MCP server deployment

常见问题

1

What are the prerequisites for running this server?

You need .NET 9.0 SDK or later, Java JDK 17 or later (for ReportServer), Docker (for Aspire containerized services), and an Ollama-compatible AI model (default: `mistral-nemo:12b` for chat, `all-minilm` for embeddings).

2

How do I troubleshoot ReportServer connection issues?

Verify that your Java ReportServer is running and accessible at the configured address in `appsettings.json` (default `localhost:1099`). Check connectivity from the ReportServerRPCClient and use the test-mcp-server.sh script to verify the connection.

3

Can I customize the AI model or ReportServer address?

Yes. In the `appsettings.json` file, you can change the Ollama model used for chat completions, configure the embedding model, and set the ReportServer address.

4

What is the current development status?

The project is under active development. Current focus areas include completing the ReportServer RPC interface, enhancing the MCP client connection, and enabling independent MCP server deployment with VS Code extension integration.

5

How do I add more report types or support other AI models?

Extend report capabilities by adding new methods to `ReportServerRPCClient`, creating corresponding functions in `McpReportServer`, and decorating them with the `[McpServerTool]` attribute. For other AI models, update `RSChatApp.Web/Program.cs` to use a different model provider and add the necessary packages.

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