mcp-local-telemetry
A lightweight Model Context Protocol server that
exposes local system telemetry (CPU, RAM, Disk, top processes) to MCP-aware AI
agents — Claude Code, Cursor, ChatGPT Desktop, and any other MCP client.
Written as a single-file, dependency-light Python script. Ships in under 200 lines and speaks JSON-RPC 2.0 over stdio.
Why
AI coding agents are increasingly asked to reason about the machine they are running on — "is it safe to run this build?", "what's eating CPU right now?". This server gives them a structured, protocol-standard way to ask.
Tools
| Tool | Description |
|---|---|
get_system_metrics |
CPU %, memory %, disk %, load average, boot time. |
get_top_processes |
Top-N processes by CPU usage. |
Install
git clone https://github.com/Jamie643/mcp-local-telemetry.git
cd mcp-local-telemetry
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e .
Metadata
Release files for mcp-local-telemetry 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcp_local_telemetry-0.1.1.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_local_telemetry-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.8 kB
Release files / mcp_local_telemetry-0.1.1.tar.gz
| Download URL | mcp_local_telemetry-0.1.1.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
cf03f99a945b78a9144a3a984d74058842adf3892f43e3d6c581b92b8f5f31ac
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Provenance
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Signed by GitHub Actions, verified by PyPI on Oct 5, 2026.
Transparency logRelease files / mcp_local_telemetry-0.1.1-py3-none-any.whl
| Download URL | mcp_local_telemetry-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a08418e7a257dc4bb5a33106df1a1ce36b185e0eb9c261c7f2978511376d2072
|
|
BLAKE2b-256 checksum How to use checksums |
c9841bdf5895ea4450d9e6a9c701feb4d7404a1dd5652549a88cc33f2a3cf046
|
| 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 Oct 5, 2026.
Transparency log