🛰️ NodeWatch MCP (nodewatch-mcp)
NodeWatch MCP is a lightweight, cross-platform Model Context Protocol (MCP) server that empowers LLMs to monitor, inspect, and analyze system health and hardware telemetry in real time.
Designed for seamless deployment across developer workstations and production infrastructure, it supports dual transport modes: STDIO for local AI desktop clients (Claude Desktop, Cursor, VS Code) and Streamable HTTP/SSE for long-running remote server monitoring across AWS, Docker, or bare metal.
🚀 Highlights
- 📊 Deep Telemetry: Real-time metrics for CPU load, RAM/Swap, disk I/O, network traffic, and top resource-consuming processes.
- 🔌 Dual-Transport Architecture: Works out of the box locally via
stdio(uvx nodewatch-mcp) or as a network daemon viahttp/sse. - ⚡ Zero Setup Required: Run instantly with
uvxwithout manual cloning or dependency management. - 🛡️ Cross-Platform: Consistent telemetry parsing across Linux, macOS, and Windows.
1 maintainer
Release files for nodewatch-mcp 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nodewatch_mcp-0.1.0.tar.gz | 68.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nodewatch_mcp-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 76.3 kB
Release files / nodewatch_mcp-0.1.0.tar.gz
| Download URL | nodewatch_mcp-0.1.0.tar.gz |
|---|---|
| Size | 68.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / nodewatch_mcp-0.1.0-py3-none-any.whl
| Download URL | nodewatch_mcp-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
85642e3246f92f39f9dee4c0e1e89f8a65d3d9c24c7996a456e2df91d2da4f57
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 16, 2026.
Transparency log
