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PalmSens Potentiostat

PYPI · LABMCP-PALMSENS · SCANNED SEP 30

MCP server for PalmSens potentiostats running MethodSCRIPT (EmStat Pico, EmStat4, Sensit, Nexus).

Available components

82 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 Usability69
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1743 tokens (~174/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • 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 Coverage99
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 98% 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 PalmSens Potentiostat MCP server?

PalmSens Potentiostat runs locally as a PyPI package, launched with uvx labmcp-palmsens. 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-palmsens

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

  • 30 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Sept 26 +42
    • 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 −31
    • Tool safety: pass → unverified ▼ security
    • Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • First check of Schema quality: unverified functional
    • Package version: 0.1.2 → 0.1.3 functional
  • 26 Sept 26 70

    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-palmsens@0.1.3

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-palmsens-v0.1.3
Rekor log index 2969517767
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:826c4f3c35e9c9917469fb42a3570a3a3dbb5f7d93782fd71d98470210acfe28

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 · ~1,364 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
abort_measurement ~39

Abort the running measurement or script immediately (communication command Z) and make sure the cell is switched off. Safe to call when nothing is running.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

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.

get_device_info ~43

Identify the potentiostat (model, firmware, serial number) and list its potential window, PGStat modes and current ranges, so measurement parameters can be chosen within them.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

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_chronoamperometry ~202

Hold the cell at `potential_v` for `run_time_s` and record the current every `interval_s`. Returns the data (time from the instrument timer) plus first/last/mean current and the charge. Applies potential to the cell.

NameTypeReqDescription
autorangeboolean–Let the instrument switch to lower current ranges automatically
current_range_anumber–Highest expected |current| in A; sets the (maximum) current range
equilibration_snumber–Seconds to hold the begin potential before the technique starts
interval_snumber–Time between points, s
max_pointsinteger–Maximum number of points to return
potential_vnumberyesApplied DC potential, V vs RE
run_time_snumberyesTotal measurement time, s
save_path––Write every point to this new .csv file (optional; never overwrites a file)
NameTypeReqDescription
abortedbooleanyesTrue if the measurement was aborted before completion
cv_peaks––Per-scan peaks (CV only; raw extrema, no baseline)
dataarrayyesDownsampled data (every n-th point, including the last)
devicestringyes–
duration_snumberyes–
n_pointsintegeryesNumber of points measured
parametersobjectyesTechnique parameters as sent to the instrument
returned_pointsintegeryes–
saved_path–––
simulatedbooleanyesTrue if this data came from the built-in simulator
started_atstringyes–
summaryobjectyesSummary statistics computed from all points
techniquestringyes–
timestampstringyes–
warningsarrayyes–

No examples provided.

run_cyclic_voltammetry ~270

Run a cyclic voltammogram: begin -> vertex 1 -> vertex 2 -> begin, `n_scans` times, and return potential/current/time data with the anodic and cathodic peaks of every scan. Applies potential to the cell for the whole scan; the cell is switched off at the end.

NameTypeReqDescription
autorangeboolean–Let the instrument switch to lower current ranges automatically
begin_potential_vnumberyesStart (and end) potential, V vs RE
current_range_anumber–Highest expected |current| in A; sets the (maximum) current range
equilibration_snumber–Seconds to hold the begin potential before the technique starts
max_pointsinteger–Maximum number of points to return
n_scansinteger–Number of cycles
save_path––Write every point to this new .csv file (optional; never overwrites a file)
scan_rate_v_snumber–Scan rate, V/s
step_potential_vnumber–Potential step, V
vertex1_potential_vnumberyesFirst vertex, V vs RE
vertex2_potential_vnumberyesSecond vertex, V vs RE
NameTypeReqDescription
abortedbooleanyesTrue if the measurement was aborted before completion
cv_peaks––Per-scan peaks (CV only; raw extrema, no baseline)
dataarrayyesDownsampled data (every n-th point, including the last)
devicestringyes–
duration_snumberyes–
n_pointsintegeryesNumber of points measured
parametersobjectyesTechnique parameters as sent to the instrument
returned_pointsintegeryes–
saved_path–––
simulatedbooleanyesTrue if this data came from the built-in simulator
started_atstringyes–
summaryobjectyesSummary statistics computed from all points
techniquestringyes–
timestampstringyes–
warningsarrayyes–

No examples provided.

run_differential_pulse_voltammetry ~257

Run differential pulse voltammetry (current = forward - reverse, per step) from begin to end potential and return the data with the peak current and peak potential. The scan rate must be below step / pulse_time / 2. Applies potential to the cell.

NameTypeReqDescription
autorangeboolean–Let the instrument switch to lower current ranges automatically
begin_potential_vnumberyesStart potential, V vs RE
current_range_anumber–Highest expected |current| in A; sets the (maximum) current range
end_potential_vnumberyesEnd potential, V vs RE
equilibration_snumber–Seconds to hold the begin potential before the technique starts
max_pointsinteger–Maximum number of points to return
pulse_potential_vnumber–Pulse amplitude, V (absolute)
pulse_time_snumber–Pulse duration, s
save_path––Write every point to this new .csv file (optional; never overwrites a file)
scan_rate_v_snumber–Scan rate, V/s
step_potential_vnumber–Potential step, V
NameTypeReqDescription
abortedbooleanyesTrue if the measurement was aborted before completion
cv_peaks––Per-scan peaks (CV only; raw extrema, no baseline)
dataarrayyesDownsampled data (every n-th point, including the last)
devicestringyes–
duration_snumberyes–
n_pointsintegeryesNumber of points measured
parametersobjectyesTechnique parameters as sent to the instrument
returned_pointsintegeryes–
saved_path–––
simulatedbooleanyesTrue if this data came from the built-in simulator
started_atstringyes–
summaryobjectyesSummary statistics computed from all points
techniquestringyes–
timestampstringyes–
warningsarrayyes–

No examples provided.

run_linear_sweep_voltammetry ~215

Run a linear sweep voltammogram from `begin_potential_v` to `end_potential_v` and return the data with the largest/smallest current and where they occur. Applies potential to the cell.

NameTypeReqDescription
autorangeboolean–Let the instrument switch to lower current ranges automatically
begin_potential_vnumberyesStart potential, V vs RE
current_range_anumber–Highest expected |current| in A; sets the (maximum) current range
end_potential_vnumberyesEnd potential, V vs RE
equilibration_snumber–Seconds to hold the begin potential before the technique starts
max_pointsinteger–Maximum number of points to return
save_path––Write every point to this new .csv file (optional; never overwrites a file)
scan_rate_v_snumber–Scan rate, V/s
step_potential_vnumber–Potential step, V
NameTypeReqDescription
abortedbooleanyesTrue if the measurement was aborted before completion
cv_peaks––Per-scan peaks (CV only; raw extrema, no baseline)
dataarrayyesDownsampled data (every n-th point, including the last)
devicestringyes–
duration_snumberyes–
n_pointsintegeryesNumber of points measured
parametersobjectyesTechnique parameters as sent to the instrument
returned_pointsintegeryes–
saved_path–––
simulatedbooleanyesTrue if this data came from the built-in simulator
started_atstringyes–
summaryobjectyesSummary statistics computed from all points
techniquestringyes–
timestampstringyes–
warningsarrayyes–

No examples provided.

run_methodscript ~217

Advanced: run a raw MethodSCRIPT and return its raw output and decoded data packages. Literal potentials of set_e / set_range_minmax da and the CV, LSV, DPV, SWV, NPV, ACV, CA, PAD, EIS and fast CV/CA techniques are checked against `max_potential_v`, and literal `set_range ba` / `set_autoranging ba` currents against `max_current_range_a`; values computed at run time are not. Aborted after `timeout_s`; add `on_finished:` + `cell_off` to your script so the cell is switched off after an abort. After a runtime error, a timeout or `abort_measurement` the server switches the cell off itself.

NameTypeReqDescription
max_linesinteger–Maximum output lines/packages to return
scriptstringyesMethodSCRIPT, one command per line (a leading 'e' line is ignored)
timeout_snumber–Abort the script after this
NameTypeReqDescription
abortedbooleanyes–
cell_off_after_error––After a runtime error (on_finished: is skipped) or a timeout: True if the server's cell_off script succeeded, False if it failed (the cell may still be on)
duration_snumberyes–
error–yes–
output_linesarrayyesRaw output lines (truncated to max_lines)
packagesarrayyesData packages as {VarType: value} (None for 'nan'), truncated to max_lines
simulatedbooleanyes–
textsarrayyessend_string output
timed_outbooleanyes–
timestampstringyes–
total_linesintegeryes–
total_packagesintegeryes–

No examples provided.

Common questions

What is the PalmSens Potentiostat MCP server?

PalmSens Potentiostat is an MCP server listed in the public MCP registry as io.github.K-Dense-AI/labmcp-palmsens. MCP server for PalmSens potentiostats running MethodSCRIPT (EmStat Pico, EmStat4, Sensit, Nexus). This page covers its PyPI package (labmcp-palmsens).

Is the PalmSens Potentiostat MCP server safe to use?

PalmSens Potentiostat scores 82 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 PalmSens Potentiostat MCP server expose?

PalmSens Potentiostat exposes 10 tools: get_connection_info, get_command_log, reconnect, get_device_info, run_cyclic_voltammetry, and 5 more. Their descriptions and schemas cost roughly 1,364 tokens of context every time the server is loaded.

Is the PalmSens Potentiostat MCP server still maintained?

PalmSens Potentiostat 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 PalmSens Potentiostat MCP server under?

PalmSens Potentiostat 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.