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Sartorius Balance

PYPI · LABMCP-SARTORIUS · SCANNED SEP 30

MCP server for Sartorius laboratory balances (SBI protocol).

Available components

83 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security99
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 2 of 17 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to K-Dense-AI/lab-instrument-mcps). View diagnostics → Pass
  • Clear OSI-approved license (Apache-2.0).Pass
  • Actively maintained (last published 3 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 973 tokens (~97/item across 10 items; 10 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management13
  • Stability observed for 4 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage94
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 80% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the Sartorius Balance MCP server?

Sartorius Balance runs locally as a PyPI package, launched with uvx labmcp-sartorius. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · labmcp-sartorius

# add to Claude Code
claude mcp add k-dense-ai-labmcp-sartorius -- uvx labmcp-sartorius
// .cursor/mcp.json
{
  "mcpServers": {
    "k-dense-ai-labmcp-sartorius": {
      "command": "uvx",
      "args": [
        "labmcp-sartorius"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "k-dense-ai-labmcp-sartorius": {
      "command": "uvx",
      "args": [
        "labmcp-sartorius"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add k-dense-ai-labmcp-sartorius -- uvx labmcp-sartorius
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "k-dense-ai-labmcp-sartorius": {
      "type": "local",
      "command": [
        "uvx",
        "labmcp-sartorius"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add k-dense-ai-labmcp-sartorius --command uvx --arg labmcp-sartorius
# ~/.hermes/config.yaml
mcp_servers:
  k-dense-ai-labmcp-sartorius:
    command: "uvx"
    args: ["labmcp-sartorius"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "k-dense-ai-labmcp-sartorius": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "labmcp-sartorius"
      ]
    }
  }
}
# add to Vellum
assistant mcp add k-dense-ai-labmcp-sartorius -t stdio -c uvx -a labmcp-sartorius
// mcp.json
{
  "mcpServers": {
    "k-dense-ai-labmcp-sartorius": {
      "command": "uvx",
      "args": [
        "labmcp-sartorius"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 29 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Sept 26 +43
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Sept 26 0
    • Package version: 0.1.1 → 0.1.2 functional
  • 26 Sept 26 39

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 30 Sept 2026 · Analysed pypi/labmcp-sartorius@0.1.2

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo K-Dense-AI/lab-instrument-mcps
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/K-Dense-AI/lab-instrument-mcps/.github/workflows/release.yml@refs/tags/labmcp-sartorius-v0.1.2
Rekor log index 2969517798
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:fb634c6ffcbe1dbf96fbad6a8ac71ac45feb0c194307773b8bbfaae16ae9e95c

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 17 packages
Packages resolved 17
Stale 2
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 10 exposed · ~629 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_command_log ~46

Return the most recent raw commands sent to / replies received from the instrument (newest last). Useful for debugging and for recording what was done.

NameTypeReqDescription
limitinteger––
NameTypeReqDescription
resultarrayyes–

No examples provided.

get_connection_info ~40

Report which instrument is connected (identity, address, simulated or real), whether the server is read-only, and the active safety limits. Call this first.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

lock_keypad ~53

Block or unblock the balance keys, e.g. so nobody tares by accident during a long logging run.

NameTypeReqDescription
lockedbooleanyesTrue blocks the balance keys (ESC O), False unblocks (ESC R)
NameTypeReqDescription
resultstringyes–

No examples provided.

log_weight_series ~61

Record a series of immediate (unfiltered) readings to monitor drift, evaporation, moisture uptake or stabilisation. Returns every reading plus summary statistics.

NameTypeReqDescription
countinteger–Number of readings
interval_snumber–Seconds between readings
NameTypeReqDescription
countintegeryes–
drift_per_minnumberyesLeast-squares slope of weight vs time, in unit/min
maximumnumberyes–
meannumberyes–
minimumnumberyes–
readingsarrayyes–
stdevnumberyes–
unit–yes–

No examples provided.

read_weight ~95

Read the current net weight from the balance (ESC P). With stable=True the server polls until the balance reports a stable value; if it cannot settle (draughts, vibration, evaporation) you get an error; retry, or use stable=false for the current value.

NameTypeReqDescription
stableboolean–Wait for a stable reading (recommended)
timeout_snumber–Max. seconds to wait for stability
NameTypeReqDescription
id_codestringyesSBI 22-character-format ID code (e.g. 'N' = net); '' in 16-character format
stablebooleanyesTrue if the balance marked the reading as stable
timestampstringyesUTC time the reading was taken (ISO 8601)
unit–yesUnit sent by the balance (e.g. 'g'). SBI omits it for unstable readings; then this is the last unit seen, or None
valuenumberyesNet weight value

No examples provided.

reconnect ~35

Close and re-open the connection to the instrument (e.g. after it was power cycled or a cable was re-plugged).

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

run_internal_adjustment ~101

Adjust (calibrate) the balance with its built-in weight (ESC Z; isoCAL models only). The pan must be empty and the balance undisturbed. SBI sends no completion message, so the server watches for the adjustment status and waits until the balance weighs again; check `observed_adjustment` and the balance display or GLP printout for the result.

NameTypeReqDescription
timeout_snumber–Max. seconds for the adjustment
NameTypeReqDescription
duration_snumberyes–
final_reading–yes–
messagestringyes–
observed_adjustmentbooleanyesTrue if the balance reported an adjustment in progress (Cal.* status or busy)

No examples provided.

set_ambient_conditions ~60

Adapt the balance's filter to the ambient conditions (ESC K/L/M/N). Use 'unstable' or 'very_unstable' for draughty or vibrating benches (slower but steadier readings).

NameTypeReqDescription
conditionsstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

tare ~74

Tare the balance (ESC U, or ESC T on legacy balances): the current load (e.g. an empty container) becomes the tare. Then waits for a stable reading and checks that it is ~0; returns that reading.

NameTypeReqDescription
timeout_snumber–Max. seconds to wait for the tared reading
NameTypeReqDescription
id_codestringyesSBI 22-character-format ID code (e.g. 'N' = net); '' in 16-character format
stablebooleanyesTrue if the balance marked the reading as stable
timestampstringyesUTC time the reading was taken (ISO 8601)
unit–yesUnit sent by the balance (e.g. 'g'). SBI omits it for unstable readings; then this is the last unit seen, or None
valuenumberyesNet weight value

No examples provided.

zero ~64

Zero the balance (ESC V). Only works with the pan (nearly) empty, within the balance's zero-setting range; clears the tare. Confirms by reading ~0 afterwards.

NameTypeReqDescription
timeout_snumber–Max. seconds to wait for the zeroed reading
NameTypeReqDescription
id_codestringyesSBI 22-character-format ID code (e.g. 'N' = net); '' in 16-character format
stablebooleanyesTrue if the balance marked the reading as stable
timestampstringyesUTC time the reading was taken (ISO 8601)
unit–yesUnit sent by the balance (e.g. 'g'). SBI omits it for unstable readings; then this is the last unit seen, or None
valuenumberyesNet weight value

No examples provided.

Common questions

What is the Sartorius Balance MCP server?

Sartorius Balance is an MCP server listed in the public MCP registry as io.github.K-Dense-AI/labmcp-sartorius. MCP server for Sartorius laboratory balances (SBI protocol). This page covers its PyPI package (labmcp-sartorius).

Is the Sartorius Balance MCP server safe to use?

Sartorius Balance scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 30 September 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Sartorius Balance MCP server expose?

Sartorius Balance exposes 10 tools: get_connection_info, get_command_log, reconnect, read_weight, log_weight_series, and 5 more. Their descriptions and schemas cost roughly 629 tokens of context every time the server is loaded.

Is the Sartorius Balance MCP server still maintained?

Sartorius Balance is still listed as active in the MCP registry. We last reached this channel on 30 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Sartorius Balance MCP server under?

Sartorius Balance declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.