systemlink-mcp
Exposes NI SystemLink test-and-measurement data to AI clients via MCP, providing test-domain tools for yield by product revision, failing DUT steps versus spec limits, measurement-trace summaries, and calibration-due assets.
README
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.
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.py
PowerShell:
$env:SYSTEMLINK_MCP_SIMULATE="1"; uv run server.py
Real 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=1
Leave 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 --probe
You 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 |
|---|---|---|
summarize_yield |
read | Pass/fail yield, optionally grouped by part, program, or serial |
query_results |
read | Filtered result counts plus a bounded recent preview |
get_failing_steps |
read | Failing steps for one result, with measurement vs limits |
summarize_measurement |
read | Table stats plus a downsampled trace (decimated on the live API) |
list_calibration_due |
read | Assets past or approaching calibration due |
query_assets |
read | Inventory with presence and calibration status |
query_systems |
read | Registered systems and connection health |
query_products |
read | Products / part numbers / families |
query_specs |
read | Spec limits for a product |
list_files |
read | File metadata for a result or asset (no contents) |
update_result_properties |
gated write | Keywords/properties on a test result |
execute_notebook |
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.py
PowerShell:
$env:SYSTEMLINK_MCP_SIMULATE="1"
npx -y @modelcontextprotocol/inspector uv run server.py
Open 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 --http
The 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.json - Windows:
%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 pytest
Tests 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.
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