Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
MCP server for LC-MS data in mzML/mzMLb and Bruker timsTOF files; vendor formats via msconvert.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITS必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
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-data動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
LABMCP_ADDRESS envLABMCP_SIMULATE envLABMCP_READ_ONLY envLABMCP_LIMITS envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント K-Dense-AI で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.1)がレジストリに届いたのは41 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, LexPact UK Contracts
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Generate UK-law contracts: NDA, service, freelance, recruiter terms of business, IR35.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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.冒頭だけを表示しています。続きはリポジトリで読めます