Joblet MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Joblet MCP Serversubmit a Python job to calculate pi"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Joblet MCP Server
MCP server for Joblet job orchestration - enables AI assistants to manage distributed computing jobs through the Joblet platform.
Quick Start
# 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-serverRelated MCP server: secure-cluster-mcp
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.
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 "| JOBLETThe 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
# Run with the default config (~/.rnx/rnx-config.yml)
joblet-mcp-server
# Use a specific config file or node, or enable debug logging
joblet-mcp-server --config /path/to/config.yml --node viewer --debugThe server communicates with the Joblet server over direct gRPC via joblet-sdk-python, which is installed automatically as a dependency.
Configuration
Create ~/.rnx/rnx-config.yml:
version: "3.0"
nodes:
default:
address: "joblet-server.com:50051"
cert: |
-----BEGIN CERTIFICATE-----
# Your client certificate
-----END CERTIFICATE-----
key: |
-----BEGIN PRIVATE KEY-----
# Your private key
-----END PRIVATE KEY-----
ca: |
-----BEGIN CERTIFICATE-----
# Your CA certificate
-----END CERTIFICATE-----Compatibility
The MCP server reaches Joblet through joblet-sdk-python, so its proto major
is determined by the SDK it pulls — proto v1.x and v2.x do not interoperate.
MCP Server | via SDK | joblet-proto | Joblet server (= RNX) |
v1.1.3+ (current) | SDK ≥ 2.1.1 (2.x) | v2.x | v5.0.2 – v5.6.11 |
v1.1.0 – v1.1.2 | SDK ≥ 1.1.4 (1.x) | v1.x | v4.5.0 – v5.0.1 |
Latest stack: MCP v1.1.3 ↔ SDK v2.5.1 ↔ Joblet/RNX v5.6.11 (all proto v2). See COMPATIBILITY.md for the full matrix and feature floors.
Requirements
Python 3.10+
Joblet server with TLS certificates
Configuration file at
~/.rnx/rnx-config.ymljoblet-sdk-python >= 2.0.0 (installed automatically as a dependency)
gRPC/mTLS access to the Joblet server (port 50051)
Documentation
License
MIT
Tool Schema Changelog
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