Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
MCP server for LC-MS data in mzML/mzMLb and Bruker timsTOF files; vendor formats via msconvert.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITSDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"labmcp-ms-data": {
"command": "uvx",
"args": [
"labmcp-ms-data"
],
"env": {
"LABMCP_ADDRESS": "your-value",
"LABMCP_SIMULATE": "your-value",
"LABMCP_READ_ONLY": "your-value",
"LABMCP_LIMITS": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add labmcp-ms-data --env LABMCP_ADDRESS=your-value --env LABMCP_SIMULATE=your-value --env LABMCP_READ_ONLY=your-value --env LABMCP_LIMITS=your-value -- uvx labmcp-ms-dataTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"labmcp-ms-data": {
"command": "uvx",
"args": [
"labmcp-ms-data"
],
"env": {
"LABMCP_ADDRESS": "your-value",
"LABMCP_SIMULATE": "your-value",
"LABMCP_READ_ONLY": "your-value",
"LABMCP_LIMITS": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"labmcp-ms-data": {
"type": "stdio",
"command": "uvx",
"args": [
"labmcp-ms-data"
],
"env": {
"LABMCP_ADDRESS": "your-value",
"LABMCP_SIMULATE": "your-value",
"LABMCP_READ_ONLY": "your-value",
"LABMCP_LIMITS": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
LABMCP_ADDRESS envLABMCP_SIMULATE envLABMCP_READ_ONLY envLABMCP_LIMITS envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto K-Dense-AI bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.1) kam vor 41 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Starreel
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Let an AI agent find, read and analyse LC-MS data files from any vendor through open interfaces: list the runs in a folder, report the instrument and acquisition details, plot TIC/BPC chromatograms, extract ion chromatograms with apex and area, read spectra, find MS2 scans by precursor m/z, and run a quick QC. Vendor files are converted to mzML with a converter you have installed. This is a data server: it controls no hardware.
| Package | labmcp-ms-data |
| Instruments | Any LC-MS run saved as mzML / mzML.gz / mzMLb; Bruker timsTOF (.d, TDF) read directly; Thermo .raw, Waters .raw folders, Agilent .d, SCIEX .wiff/.wiff2, Shimadzu .lcd, Bruker BAF .d after conversion |
| Interfaces | Files (a local or network data folder) |
| Protocol | mzML 1.1 via pyteomics; mzMLb via pyteomics + h5py; Bruker TDF via its SQLite schema + timsrust (timsrust-pyo3); conversion with msconvert or ThermoRawFileParser |
| Status | 🧪 simulated: tested against a synthetic LC-MS run, hand-written and generated mzML/mzMLb files and a small Bruker TDF test set; not yet verified on a wide range of real instrument files. Report a test |
uvx labmcp-ms-data --simulate --check
--simulate serves one synthetic 12-minute DDA LC-MS/MS run (simulated_lcms_run.mzML): eight known analytes (caffeine, sulfamethoxazole, leucine enkephalin, angiotensin II 2+, verapamil, glu-fibrinopeptide B 2+, reserpine, terfenadine) eluting as Gaussian LC peaks with isotope envelopes, a polysiloxane background ion, chemical noise, a top-5 DDA method with dynamic exclusion and fragment spectra, AGC-like injection times, and one electrospray dropout at ~10.6 min for the QC tool to find.
uvx labmcp-ms-data --help # mzML / mzML.gz
uvx --from 'labmcp-ms-data[bruker]' labmcp-ms-data --help # + Bruker timsTOF spectra/XICs uvx --from 'labmcp-ms-data[mzmlb]' labmcp-ms-data --help # + mzMLb
2. **Choose the data folder** with `--address` (default: the current directory; the server refuses to start in the filesystem root, where many MCP clients launch servers, without an `--address`). Subfolders are searched. The agent can only read and write inside this folder: paths with `..`, absolute paths elsewhere and symlinks pointing outside are refused.
uvx labmcp-ms-data --address ~/data/lcms --check
--option converter=thermorawfileparser, plus --option converter_path=/opt/trfp/ThermoRawFileParser.dll if it isn't on PATH; .dll is started with dotnet, .exe with mono on Linux/macOS). With converter=auto, a converter_path is recognised from its file name.--option converter=msconvert).docker pull proteowizard/pwiz-skyline-i-agree-to-the-vendor-licenses (--option converter=docker). Pulling the image means you accept the vendor licences. Only the input's folder (read-only) and the output folder are mounted into the container. On Apple Silicon it runs under x86-64 emulation (slow). On Linux the output files are owned by root.converter=auto (default) tries ThermoRawFileParser for Thermo files, then msconvert, then Docker.The commands used are: ThermoRawFileParser -i= -o= -f=2 [-p] [-g] and msconvert -o --mzML --zlib [--gzip] [--filter "peakPicking vendor msLevel=1-"] (inside Docker via wine msconvert). They are run without a shell, with a timeout; on timeout the converter's whole process tree (and the Docker container) is killed and the incomplete output is deleted.
Claude Code
claude mcp add ms-data -- uvx --from 'labmcp-ms-data[bruker]' labmcp-ms-data --address /path/to/data
Claude Desktop / Cursor / Windsurf (claude_desktop_config.json, .cursor/mcp.json, …)
{
"mcpServers": { "ms-data": { "command": "uvx", "args": ["--from", "labmcp-ms-data[bruker]", "labmcp-ms-data", "--address", "/path/to/data", "--option", "converter=docker"] } } }
Add --read-only to hide convert_to_mzml (the only tool that writes a data file; save_path CSV exports inside the data folder remain available). A save_path must end in .csv (a name without an extension gets one), and an existing file is never replaced unless the call passes overwrite=true. For other clients, generate the snippet with uvx labmcp config ms-data --address /path/to/data --client vscode (also cursor, codex, claude-code).
| Tool | Kind | Description |
|---|---|---|
convert_to_mzml | 🎛 control | Convert a vendor file (Thermo .raw, Waters .raw, Agilent .d, SCIEX .wiff, Shimadzu .lcd, Bruker .d) to mzML with the converter the user installed (ThermoRawFileParser, ProteoWizard msconvert, or msconvert in Docker; chosen with --option converter=...). Writes a new file in the data folder. Can take minutes; fails with install instructions if no converter is set up. |
extract_ion_chromatogram | 👁 read | Extracted ion chromatogram (XIC/EIC) for one or more m/z values: the summed intensity within ± tolerance (ppm or Da) in every MS1 spectrum (or another ms_level). For each target returns the apex RT and intensity, the apex peak's boundaries, area (intensity x min, no baseline subtraction) and FWHM, plus a downsampled trace. Reads every spectrum in the RT window, so restrict rt_start_min/rt_end_min on long runs. |
find_ms2_scans | 👁 read | Find the MS2 (MSn) spectra whose precursor m/z is within ± tolerance of precursor_mz, optionally within an RT window and for one charge state. Returns index, scan number, RT, precursor m/z, error in ppm, charge and intensity; open any hit with get_spectrum. |
get_bpc | 👁 read | Base peak chromatogram (intensity of the most intense peak per spectrum, with its m/z) vs retention time, downsampled to max_points. Cleaner than the TIC for spotting eluting compounds; the base-peak m/z tells you which ion dominates each part of the run. |
get_command_log | 👁 read | Return the most recent raw commands sent to / replies received from the instrument (newest last). Useful for debugging and for recording what was done. |
get_connection_info | 👁 read | Report which instrument is connected (identity, address, simulated or real), whether the server is read-only, and the active safety limits. Call this first. |
get_run_info | 👁 read | Describe one run: instrument vendor/model/serial (when the file records them), acquisition date, software, number of spectra per MS level, retention-time and m/z ranges, polarity, centroid/profile, and whether ion-mobility data is present. The first call on a large file indexes it (can take a while); later calls are instant. |
get_spectrum | 👁 read | Read one spectrum, chosen by index, scan_number, native_id or nearest rt_min (give exactly one). Returns MS level, RT, polarity, centroid/profile, precursor m/z and charge for MS2, a summary (peak count, TIC, base peak, m/z range) and the top_n most intense peaks; save_path writes the full peak list to CSV. For profile spectra the top peaks are local maxima of the profile. |
get_tic | 👁 read | Total ion chromatogram (sum of all intensities per spectrum vs retention time) for one MS level, downsampled to max_points (keeping the maximum in each bin so peaks survive). Returns the apex, median and area; save_path writes every point to CSV. |
list_runs | 👁 read | Find mass-spectrometry runs in the data folder and detect each one's vendor and format (mzML/mzML.gz/mzMLb, Bruker .d TDF or BAF, Agilent .d, Thermo .raw, Waters .raw folder, SCIEX .wiff/.wiff2, Shimadzu .lcd, mzXML). readable_directly=false means the run must be converted with convert_to_mzml before it can be analysed. |
reconnect | 🛑 safety | Close and re-open the connection to the instrument (e.g. after it was power cycled or a cable was re-plugged). |
summarise_run | 👁 read | Quick QC of a run: MS1/MS2 counts, TIC stability (CV, spray dropouts), where the signal elutes, cycle time, MS2 scans per cycle, median injection times and how often MS2 hit the maximum injection time, and precursor charge states. Returns plain-language warnings. |
get_connection_info, get_command_log and reconnect are built into every LabMCP server (reconnect here closes the cached runs). There are no HAZARD tools, because nothing physical is controlled, so no SAFETY stop tool is needed.
| Limit | Default | Meaning |
|---|---|---|
max_conversion_time_s | 3600 s | Longest time a convert_to_mzml call may run before the converter is stopped |
max_xic_targets | 50 | Most m/z values in one extract_ion_chromatogram call |
Override at launch: --limit max_conversion_time_s=7200.
.gz) through pyteomics (Apache-2.0), using the PSI-MS vocabulary bundled with psims (no download). mzMLb needs the [mzmlb] extra (h5py, hdf5plugin). Gzipped mzML is decompressed to a temporary file for random access.Frames.SummedIntensities), BPC intensity (Frames.MaxIntensity, the most intense single peak in any mobility scan; its m/z is not stored) and the DDA precursor list are read straight from the analysis.tdf SQLite tables (GlobalMetadata, Frames, Precursors, PasefFrameMsMsInfo), so they work without extras. Spectra and XICs need the [bruker] extra (timsrust-pyo3, Apache-2.0, wheels for Linux/macOS/Windows). MS1 and diaPASEF frames are summed over ion mobility (diaPASEF MS2 frames mix all isolation windows); each ddaPASEF precursor is one MS2 spectrum. Ion mobility is not resolved in the outputs. Bruker BAF .d folders need conversion.Nur der Anfang wird gezeigt; den Rest findest du im Repo