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Solon AI MCP can also be used to develop MCP Proxy!

Popularity：406 ℃/2025-04-26 09:36:46

There are three communication methods for MCP:

aisle illustrate Remark
stdio Local in-process communication existing
sse http Remote http communication existing
streamable http Remote http communication (MCP has just passed the decision, mcp-java-sdk has not been implemented yet)

It can also be divided into two categories:

  • Local inter-process communication
  • Remote communication (such as for front-end use, or for remote interfaces).

At present, the industry has accumulated the largest stdio mcp-server. There are also open source projects that provide proxy conversion, such as: mcpo, mcp-proxy, etc. If it is Java, you can use solon-ai-mcp to develop similar agents.

<dependency>
    <groupId></groupId>
    <artifactId>solon-ai-mcp</artifactId>
    <version>3.2.1-M3</version>
</dependency>

There are two configuration methods that can be borrowed (or can be built with manual cabinet):

1. Load using the classic mcpServers configuration format

This configuration format is currently very common for mcp proxy. This configuration will also be provided by various projects of stdio mcp-server. Add the sample configuration (or find a mcp-server to copy), we copied a copy from a project in gitee and named itmcp/mcpServers.：

{
  "mcpServers": {
    "gitee": {
      "command": "mcp-gitee-ent",
      "env": {
        "GITEE_ENT_API_BASE": "/enterprises",
        "GITEE_ENT_MCP_ACCESS_TOKEN": "<your mcp ent access token>",
      }
    }
  }
}

solon-ai-mcp provides a quick way to parse this configuration format directly. Here is an example of creating a proxy server:

@McpServerEndpoint(sseEndpoint = "/mcp/proxy/gitee")
public class McpServerTool implements ToolProvider {
    McpClientToolProvider toolProvider = McpClientToolProvider
                .fromMcpServers("classpath:mcp/mcpServers.")
                .get("gitee")

    @Override
    public Collection<FunctionTool> getTools() {
        return ();
    }
}

The mcpServers configuration supports multi-service configuration, so it will be a map after parsing. In principle, we load mcpServers using McpClientToolProvider and provide it as a tool to output McpServerEndpoint, forming a proxy effect.

2. Use yaml format to configure loading

This specification requires reference to the corresponding McpClientProperties entity properties. Add the mcp-client configuration in the configuration.

:
   mcp:
     client:
       gitee: # McpClientProperties Entity Properties
         channel: "stdio"
         serverParameters:
           command: "mcp-gitee-ent"
           env:
             GITEE_ENT_API_BASE: "/enterprises"
             GITEE_ENT_MCP_ACCESS_TOKEN: "<your mcp ent access token>"

Create a proxy server

@McpServerEndpoint(sseEndpoint = "/mcp/proxy/gitee")
 public class McpServerTool implements ToolProvider {
     @Inject("${}") //Configuration, you can directly inject it
     McpClientToolProvider toolProvider;

     @Override
     public Collection<FunctionTool> getTools() {
         return ();
     }
 }

3. You can also reverse proxy

In fact, we can also proxy sse mcp-server to output in stdio:

@McpServerEndpoint(channel = )
public class McpServerTool implements ToolProvider {
     McpClientToolProvider sseToolProvider = ()
            .apiUrl("http://localhost:8081/mcp/sse")
            .build();

    @Override
    public Collection<FunctionTool> getTools() {
        return ();
    }
}

After packaging, it can be configured through mcpServers and used by other tools:

{
  "mcpServers": {
    "demo1": {
      "command": "java",
      "args": ["-jar", "/demo-mcp-stdio/target/"]
    }
  }
}

If it is java, you can also use solon-ai-mcp. Example:

McpClientToolProvider mcpClient = ()
                 .channel() // means to use stdio
                 .serverParameters(("java")
                         .args("-jar", "/demo-mcp-stdio/target/")
                         .build())
                 .build();

4. Summary

Solon AI MCP can also be used to develop MCP Proxy! Especially in the Java environment, we also support java8, java11, java17, java21, and java24.

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