What dependencies does MCP Client SSE require?
Spring Boot, the MCP Client Library, and the OpenAI API are required.
@Shaamam
Basic information
Spike Project on building MCP Clients to connect with MCP Servers to access the tools exposed by the servers
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.
MCP Client SSE is a Spring Boot-based Java application that provides a synchronous client implementation for interacting with MCP Servers and tools. It integrates with the Model Context Protocol (MCP) and the OpenAI API, aimed at developers building AI-powered applications with Spring Boot.
Configure the application.properties file with an OpenAI API key, MCP client settings (server URL, timeouts, etc.), and enable tool callbacks. Build and run the application using Gradle commands (./gradlew build and ./gradlew bootRun). The application starts on port 8080 by default.
Spring Boot, the MCP Client Library, and the OpenAI API are required.
In `application.properties`, set `spring.ai.mcp.client.sse.connections.server1.url=http://localhost:8082` (or your server URL) and enable the MCP client with `spring.ai.mcp.client.enabled=true`.
Configuration is stored in the `src/main/resources/application.properties` file and loaded at runtime by Spring Boot.
It uses SSE (Server-Sent Events) for transport and requires an OpenAI API key (`spring.ai.openai.api-key`) for OpenAI integration.
The README mentions only synchronous (SYNC) client type and a configurable request timeout (default 30s). No other limits are documented.
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