modelcontextprotocol / modelcontextprotocol/java-sdk
StdioClientTransport: Inbound Scheduler and Error Scheduler threads are locked on Windows
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Descrição
Bug description
Two threads, Inbound Scheduler and Error Scheduler, remain locked forever (at java.io.FileInputStream.readBytes native call) in io.modelcontextprotocol.client.transport.StdioClientTransport after the graceful shutdown is completed using closeGracefully method.
Looks like a Windows specific issue with native I/O calls. The problem is observed when running on Windows. No problems with Linux environment.
The thread dump is attached.
dump_jdk17.txt
See "pool-2-thread-1" and "pool-5-thread-1" dumps.
Environment
Windows 11 Enterprise
mcp-core 0.17.1
Spring AI 2.0.0-SNAPSHOT
JDK Temurin 17.0.14 (also tried Amazon Corretto 21.0.5)
Linux Behavior
Works fine under Ubuntu 24.04 and JDK Temurin 21.0.10
Steps to reproduce
- Run the steps from the Spring AI Filesystem Demo example on Windows.
- The Java application process is not terminated as expected.
Expected behavior
The Java process terminates after running the Spring AI Filesystem Demo example.
Possible solution
On Windows, use daemon threads for inbound and error schedulers
private ThreadFactory daemonThreadFactory = runnable -> {
Thread t = new Thread(runnable);
t.setDaemon(true);
return t;
};
if (isWindows) {
this.inboundScheduler = Schedulers.fromExecutorService(Executors.newSingleThreadExecutor(daemonThreadFactory), "inbound");
this.errorScheduler = Schedulers.fromExecutorService(Executors.newSingleThreadExecutor(daemonThreadFactory), "error");
}
Tried this solution locally. It resolves the termination issue. But the graceful shutdown logic in io.modelcontextprotocol.client.transport.StdioClientTransport#closeGracefully should be revised as well.
Guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Direção de pesquisa
Comece em io.modelcontextprotocol.client.transport.StdioClientTransport, concentrando-se no Inbound Scheduler, no Error Scheduler e no método closeGracefully; em seguida, analise o thread dump do Windows anexado em busca de leituras bloqueadas. Reproduza o Spring AI Filesystem Demo no Windows e verifique se o desligamento encerra o processo Java sem deixar threads do scheduler bloqueadas.
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Avaliação
- Stack de tecnologia
- java
- Domínio
- backend
- Tipo de issue
- Bug
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Status de atividade
- Estagnada
- Clareza
- Razoavelmente clara
- Facilidade para iniciantes
- 38/100