systemlink-mcp
Enables queuing Jupyter notebook executions for automated analysis and reporting on test results.
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., "@systemlink-mcpSummarize yield for product revision B this quarter."
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.
systemlink-mcp
An MCP server that exposes NI SystemLink to AI clients with test-and-measurement-native tools: yield by product revision, failing DUT steps versus spec limits, measurement-trace summaries, and calibration-due assets.
This is the fleet/data-layer companion to daq-mcp.
daq-mcp talks to a single DAQ device. systemlink-mcp queries and correlates
results, assets, and systems across a lab.
This is a personal project with one maintainer. It is not an NI product and is not affiliated with, endorsed by, or supported by NI / Emerson.
Why test-domain tools instead of a generic wrapper
A commercial middleware catalog can list SystemLink among thousands of industrial systems and then expose a CMMS/ERP-shaped surface: work orders, sites, spaces, sales orders. That abstraction cannot answer what a test engineer actually asks:
pass/fail rates for product revision B this quarter
which measurement on a failing DUT exceeded its limit
which PXI module is past its calibration due date
Every tool here is shaped around those questions. Responses are summaries plus a bounded preview, not raw Test Monitor or DataFrame payloads. Dumping thousands of result rows or a 2000-point waveform into a model context makes the server unusable even if the API calls are correct.
Related MCP server: Auto-Manager MCP
Read-only by default
Mutating tools (update_result_properties, execute_notebook) refuse unless
SYSTEMLINK_MCP_ALLOW_WRITE=1. Read tools work with no extra flags.
The current nisystemlink-clients AssetManagementClient has create, query,
delete, file-link, and utilization methods, but no asset update method. The
gated write surface therefore updates Test Monitor result metadata and queues
notebook executions, not asset records.
Stack
Python 3.11+, uv, FastMCP (stdio or Streamable HTTP), Pydantic v2, and the
official nisystemlink-clients package. Tools never import the SDK; they call
a SystemLinkBackend. Set SYSTEMLINK_MCP_SIMULATE=1 for a pure-Python fake
that needs no SystemLink server.
Quick start (no SystemLink server)
uv sync
SYSTEMLINK_MCP_SIMULATE=1 uv run server.pyPowerShell:
$env:SYSTEMLINK_MCP_SIMULATE="1"; uv run server.pyReal SystemLink
The simulated backend is only used when SYSTEMLINK_MCP_SIMULATE=1, or when a
live connect fails and SYSTEMLINK_MCP_REQUIRE_REAL is unset. A live response
has "backend": "systemlink" and "simulated": false.
Create an API key in SystemLink (Enterprise: a policy, then an API key; the HTTP header the SDK sends is
x-ni-api-key). SLE does not accept username and password for programmatic access.Copy
.env.exampleto.env(gitignored) and set:
SYSTEMLINK_SERVER_URI=https://your-systemlink-host
SYSTEMLINK_API_KEY=...
SYSTEMLINK_MCP_REQUIRE_REAL=1Leave SYSTEMLINK_MCP_SIMULATE unset. On-prem SystemLink Server that still
allows basic auth can use SYSTEMLINK_USERNAME / SYSTEMLINK_PASSWORD
instead of a key. SystemLink Cloud can use the API key alone (no URI); the
backend then constructs CloudHttpConfiguration.
Probe before MCP so a failed login cannot silently become the fake fleet:
uv run server.py --probeYou should see "simulated": false and a short query_systems preview from
your server. Then launch MCP without the simulate flag, or point Cursor at
.cursor/mcp.json.live.example.
If --probe fails, the JSON error is from the SDK (ApiException / connect),
not from dummy data.
Tools
Tool | Access | What it answers |
| read | Pass/fail yield, optionally grouped by part, program, or serial |
| read | Filtered result counts plus a bounded recent preview |
| read | Failing steps for one result, with measurement vs limits |
| read | Table stats plus a downsampled trace (decimated on the live API) |
| read | Assets past or approaching calibration due |
| read | Inventory with presence and calibration status |
| read | Registered systems and connection health |
| read | Products / part numbers / families |
| read | Spec limits for a product |
| read | File metadata for a result or asset (no contents) |
| gated write | Keywords/properties on a test result |
| gated write | Queue a Jupyter notebook execution |
MCP Inspector
From the repo root, with simulation forced:
SYSTEMLINK_MCP_SIMULATE=1 npx -y @modelcontextprotocol/inspector uv run server.pyPowerShell:
$env:SYSTEMLINK_MCP_SIMULATE="1"
npx -y @modelcontextprotocol/inspector uv run server.pyOpen the printed URL (typically http://127.0.0.1:6274). Confirm the twelve
tools appear, then call summarize_yield with group_by=part_number.
Streamable HTTP instead of stdio:
SYSTEMLINK_MCP_SIMULATE=1 uv run server.py --httpThe MCP endpoint is http://127.0.0.1:8000/mcp. Do not use transport="sse";
that transport is deprecated.
Cursor
Use .cursor/mcp.json.example (simulator) or .cursor/mcp.json.live.example
(real server). Machine-local .cursor/mcp.json is gitignored.
{
"mcpServers": {
"systemlink-mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"C:/Users/folayaod/personal/systemlink-mcp",
"server.py"
],
"env": {
"SYSTEMLINK_MCP_SIMULATE": "1"
}
}
}
}Claude Desktop
Same JSON block, in claude_desktop_config.json:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Restart Claude Desktop after saving.
Prompts that exercise the simulated fleet
"What is the pass/fail yield for part number PN-5164-B, grouped against the other revisions?"
"DUT-1001 failed BoardFunctional.seq. Which step failed, and how did Gain compare to its limits? Summarize the attached measurement trace."
"Which PXI assets are overdue or approaching calibration, and is PXI Rack 1 connected?"
Tests
SYSTEMLINK_MCP_SIMULATE=1 uv run pytestTests hit the simulated backend only. They do not open a network connection to SystemLink.
Status
Personal project, one maintainer. The simulated backend is the supported
day-to-day path. The real backend is written against nisystemlink-clients
2.32.x APIs documented at python-docs.systemlink.io
and the ni/nisystemlink-clients-python
source. It has not been run against a live SystemLink Enterprise instance in
this repository's CI. Asset Dynamic LINQ property names for calibration status
follow the PascalCase style of the official AssetIdentifier example; if a
live server rejects that filter, that is a known integration risk documented
in DEVLOG.md.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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