Power your agent
Cài đặt từ nhà phát hành. Không phải endpoint của PlugMCP.
Host a copy with our keys and logs.
Chưa có bản phát hành đóng gói nào trong registry. Làm theo README của kho mã.
URL từ xa hay một lệnh trên máy của bạn? Hai cách cài đặt khác nhau thế nào
Chạy trên PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
MởTừ nhà phát hành
This project contains two main components:
A Spring Boot application that functions as an MCP server. It makes tools available to AI models by converting OpenAPI specifications into MCP tools.
This project is designed to be run using Docker Compose, which orchestrates all the services (Java MCP Server, Python MCP Server, Sample Tools App, and MCP Client).
mcp-client requires a valid OpenAI API key. Before running, edit mcp-client/config.yml and replace YOUR_OPENAI_API_KEY with your actual key.To build all the Java projects and install Python dependencies, use the provided build script:
chmod +x build-all.sh
./build-all.sh
To start all services (Java MCP Server, Python MCP Server, Sample Tools App, and MCP Client) using Docker Compose:
docker-compose up --build
Once running, the services will be accessible on the following ports on your host machine:
http://localhost:18001http://localhost:18002http://localhost:18003http://localhost:18004The mcp-server acts as a tool provider for the mcp-client. The client connects to the server to get a list of available tools, which it then uses to interact with the configured LLM. This allows for a separation of concerns, where the server manages the tools and the client focuses on the interaction with the LLM.
Once you have a service with an OpenAPI specification, you can register it as a tool in either the Python or Java MCP server.
Add the tool to the tools list in the python_mcp_server/mcp_server.yml file. For example, to add the sample-tools-app:
mcp_server:
host: 0.0.0.0
port: 18002
tools:
- description: API for managing users and orders
name: sample-tools
rest_api_url: http://sample-tools-app:18003/v3/api-docs
The Java MCP Server can load tools on startup from an mcp_server.yml file located in its /config directory. An example is provided at mcp-server/config/mcp_server.yml.
Alternatively, you can dynamically register tools by sending a POST request to the /api/register-openapi endpoint. When running in Docker, use the service name (e.g., sample-tools-app) as the hostname for the source URL.
curl -X POST http://localhost:18001/api/register-openapi \
-H "Content-Type: application/json" \
-d '{
"type": "URL",
"source": "http://sample-tools-app:18003/v3/api-docs",
"friendlyName": "sample-tools",
"description": "Tools for managing users and orders"
}'
This project includes a full end-to-end test to verify that all components (mcp-server-java, sample-tools-app, and mcp-client) are working together correctly.
mcp-client requires a valid OpenAI API key to function. Before running the test, you must edit the mcp-client/config.yml file and replace the placeholder YOUR_OPENAI_API_KEY with your actual key.A shell script test-e2e.sh is provided to automate the entire process.
Make the script executable:
chmod +x test-e2e.sh
Run the script:
./test-e2e.sh
The script will:
mcp-client that requires it to use a tool from the sample-tools-app.Contributions are welcome! Please feel free to submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for more information.
A Spring Boot application that functions as an MCP server. It makes tools available to AI models by converting OpenAPI specifications into MCP tools.
Công cụ
Chưa có danh sách công cụ. Máy chủ từ xa sẽ có danh sách sau lần kiểm tra tình trạng đầu tiên.
Câu hỏi thường gặp
Sao chép cấu hình stdio cho Cursor, Claude Desktop, Claude Code hoặc VS Code trên trang này. Cấu hình dùng bản cài đặt của nhà phát hành, không phải proxy của PlugMCP.
Bản ghi này không liệt kê biến môi trường bắt buộc nào.
Augmentia De chạy cục bộ qua stdio.
Kiểm tra lần cuối: 2026-11-05. A Spring Boot application that functions as an MCP server. It makes tools available to AI models by converting OpenAPI specifications into MCP tools.
