MCP (Model Context Protocol) server for Joblet job orchestration system
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# Joblet MCP Server MCP server for [Joblet](https://github.com/ehsaniara/joblet) job orchestration - enables AI assistants to manage distributed computing jobs through the Joblet platform. ## Quick Start ```bash # Install pip install joblet-mcp-server # Configure (~/.rnx/rnx-config.yml) mkdir -p ~/.rnx cp sample_config.yaml ~/.rnx/rnx-config.yml # Edit with your Joblet server credentials # Run joblet-mcp-server ``` ## Features - **Jobs** - Run, monitor, and manage compute jobs (logs, metrics, telematics) - **Runtimes** - List, inspect, test, build, and validate runtime environments - **Storage** - Create and manage persistent volumes - **Networks** - Configure isolated networks - **Monitoring** - Real-time metrics and GPU status > Workflow orchestration is not provided — it was extracted to a separate project > and is not part of the Joblet gRPC API / SDK this server uses. ## Architecture The MCP server is one of three client paths to a Joblet server. It lets an **AI assistant** drive Joblet, while the `rnx` CLI serves human operators and `joblet-sdk-python` serves other Python programs. All paths converge on the same gRPC/mTLS API (`:50051`) and share the same `~/.rnx/rnx-config.yml` credentials. ```mermaid flowchart TB AI["AI Assistant<br/>(Claude, OpenAI, etc.)"] USER["Human operator"] APP["Other Python apps"] MCP["joblet-mcp-server<br/>(this project)"] SDKLIB["joblet-sdk-python<br/>(gRPC client library)"] RNX["rnx CLI"] JOBLET["Joblet Server<br/>:50051"] AI -->|" MCP protocol (stdio) "| MCP MCP -->|" imports "| SDKLIB USER -->|" shell "| RNX APP -->|" imports "| SDKLIB SDKLIB -->|" gRPC / mTLS "| JOBLET RNX -->|" gRPC / mTLS "| JOBLET ``` The MCP server reaches Joblet through `joblet-sdk-python` — a single gRPC hop over mTLS, the same API the `rnx` CLI uses for human operators. ## Usage ```bash # Run with the default config (~/.rnx/rnx-config.yml) joblet-mcp-server # Use a specific config file o…
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