Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Inspect files, extract content and make guarded edits locally. Linux x86_64, glibc 2.35+.
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.
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
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.
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.
Diese 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 krauqllc 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 (4.0.0-1) kam vor 4 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du MCPB auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Detailing Manager
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.
Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.
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.
One local tool for every file an AI agent touches. Find what is hidden or risky in incoming files, including text written to instruct an AI, read them, change them without breaking them, and hand back clean copies. One offline CLI and local MCP server for Linux, with a JSON receipt for every step.
ufo inspect --deep reports comments, tracked changes, hidden text, hidden sheets, rows and slides, speaker notes, document properties, macros and embedded files in supported formats. Its text scan flags lines that read as instructions to an AI assistant, personal-data and credential patterns and look-alike mixed-script words, and it names a program travelling under a document's name. ufo inspect --human prints the same findings readably.ufo text extracts content with provenance, and --format structure adds addresses and hashes. ufo capabilities --file tells an agent what one file allows: bounded reads, candidate edits and their exact help, or why it should stop.ufo text --format structure --targets derives exact guard templates for the change you choose.ufo clean writes a copy without the removable hidden content the inspection found, and its receipt lists what was removed and what was not.Inspection reports its coverage gaps. Basic information for an unknown file does not imply a dedicated reader, editor or security inspector for its format, and findings are advisory: UFO is not antivirus or a guarantee that content is safe. File and resource limits apply.
Free for individuals and small teams. Every command and supported file type is included, with no signup or watermark. Organizations with fewer than ten people and under USD 1 million in annual revenue, including funding, qualify; any organization can evaluate it free. See the eligibility details.
Website and comparison with other agent tools: https://universalfileopener.com/cli/
Native Linux x86_64 installation needs glibc 2.35 or later (Ubuntu 24.04 and Debian 12 tested). Native Alpine/musl installation is unsupported. The Java runtime is included; the container option below uses its own runtime.
curl -fsSL https://universalfileopener.com/install.sh | sh
ufo doctor ufo skill install --agent claude-code --dir "$PWD"
install.sh downloads the app image from the latest release, checks it against the release's SHA256SUMS and installs it under ~/.local, without sudo. The same release has a Debian package (sudo apt install ./universal-file-opener_4.0.0_amd64.deb) and ufo-cli-4.0.0-docker.tar, an archive of the container image for offline transfer.
From a directory containing report.docx, download and run the public image:
docker run --rm --network none --read-only --cap-drop ALL \
--user "$(id -u):$(id -g)" --security-opt no-new-privileges \ --pids-limit 128 --cpus 2 --memory 1g \ --tmpfs /tmp:rw,nosuid,nodev,size=256m \ --mount type=bind,src="$PWD",dst=/input,readonly \ ghcr.io/krauqllc/ufo-cli:4.0.0 text /input/report.docx
No GitHub login is needed. The temporary mount is required. For edits, mount a separate writable output folder at /output and select a new file there. The container reads, edits and recognizes text; page rendering and Office-to-PDF conversion need the application package. For a deployment pinned to an immutable image, use the digest in the release notes.
Run in the project folder. For Cursor use ufo skill install --agent cursor --dir "$PWD". For Codex use ufo skill install --agent codex --dir "$PWD" --replace; it adds or updates only the marked UFO section of the project's AGENTS.md, keeping the rest. Start a new session after installing the guide.
For an MCP client instead of the skill, ufo mcp print-config --client claude-code prints a template. Replace its executable and folder placeholders, then merge it into the client configuration. Printing does not register a server. Follow the complete setup instructions.
From a clone of this repository, with Python 3.10+ and jsonschema installed:
python3 tools/cli/first_run_demo.py --ufo "$(command -v ufo)" \
--expect-version 4.0.0 --output first-look --mcp
The short example generates two fictional inputs. It collects basic information for an unfamiliar file, finds document properties, a reviewer comment and hidden text in a supported DOCX, and writes a clean copy. It independently checks the saved ZIP/XML bytes, original hashes, full receipt schemas and refusal to replace an existing output. Open first-look/START_HERE.txt to review the results.
Every notInspected gap and skipped clean category remains in the evidence. The optional MCP check discovers tools and calls inspection over local stdio; it does not establish that an installed assistant has connected successfully.
See a complete mixed-file editing workflow
Watch the 64-second film, then inspect and replay the workflow. A fictional change brief updates a spreadsheet model, a Word memo with native tracked revisions, and two slides in a board deck.
The film uses actual Microsoft Office exports of the downloadable files. The replay needs only Python 3 and UFO, with no agent or model API. It checks all 20 recomputed saved results, existing formulas, earlier periods, native Word revisions, original hashes and untouched package parts. Every edit matches its dry-run output hash; an intentionally stale source hash refuses. This is an edited script demonstration, not an agent recording or a timing benchmark.
Read the help for the operation you need: ufo edit paragraphs --help. Locate text with ufo find --text 'budget' --compact report.docx, then read selected paragraphs, cells or slides with ufo text --format structure --compact. Batch independent changes to one file, and reuse the output receipt's hash for the next edit. Store full receipts when you need an audit record.
--compact applies to text, find, inspect --deep and edit; intake, convert and unpack do not accept it. For MCP, read tools/list schemas: find takes one file and report requires an output path.
Every edit operation accepts --expect-sha256 (MCP options.expectedSha256), so a stale source refuses instead of being edited. Check each operation's help for its other flags rather than copying another operation's. For an unfamiliar file, start with ufo capabilities --file FILE. Always review what a receipt skipped and inspect the output before handoff.
The binaries are on the Releases page. This repository holds what you need to check them:
| Path | What it is |
|---|---|
docs/cli/schemas/ | JSON schemas for every receipt and report the CLI writes |
tools/cli/first_run_demo.py | The short unfamiliar-file and inspection/clean-copy example, with independent checks |
tools/cli/own_file_evaluation.py | Runs UFO on your own files: reads, reversible edits and an independent check of every output |
tools/cli/evaluate_sample.py | The end-to-end evaluation on generated sample files |
tools/corpus/compare_agent_tools.py | The comparison with other agent file tools, on the same tasks and checks |
tools/corpus/realworld_corpus_manifest.tsv | The public files that comparison uses, with their sources and SHA-256 |
tools/corpus/download_realworld_corpus.py | Downloads those files and verifies each one |
The other files under tools/ are the helpers these import. They need Python 3.10 or newer, jsonschema for receipt validation, and an installed UFO build.
Reviewed distribution source is also available under packaging/npm/, packaging/linux-cli/registry/ and packaging/homebrew/. These wrappers and descriptors target the same Linux x86_64 release. The Homebrew tap is public. Homebrew 7 loads formulae from other taps only after you trust them: brew trust --formula krauqllc/ufo/ufo, then brew install krauqllc/ufo/ufo. The release also provides a complete local MCPB bundle for compatible Linux clients, listed in the official MCP Registry. Directory revision 4.0.0-1 provides the matching 4.0.0 engine and bundle. Choose only existing task folders when installing the bundle; no directories are granted by default. The npm package @krauq/ufo-cli installs the same verified runtime; version 4.0.0 appears there once the publisher approves it with 2FA, which npm view @krauq/ufo-cli versions shows. On npm 12 use npm install --global @krauq/ufo-cli@4.0.0 --allow-scripts=@krauq/ufo-cli; on npm 11 or earlier, omit --allow-scripts and keep installation scripts enabled. The wrapper verifies and installs this exact Linux runtime. The server is also listed on Glama.
UFO=$(command -v ufo)
python3 tools/cli/evaluate_sample.py --ufo "$UFO" --expect-version 4.0.0 --output sample-result python3 tools/cli/own_file_evaluation.py --files ~/my-files --ufo "$UFO" --expect-version 4.0.0 --output my-files-report python3 tools/corpus/download_realworld_corpus.py --download --output corpus python3 tools/corpus/compare_agent_tools.py --download --corpus tools/corpus/realworld_corpus_manifest.tsv --corpus-root corpus --ufo "$UFO"
--download fetches the pinned releases of the other tools, and --setup-libraries creates the Python library environment the comparison uses. Both need the network once; the runs themselves do not.
The files here are Apache 2.0 (LICENSE, NOTICE). The binaries are licensed under ENGINE-LICENSE.txt: free for individuals, evaluation, education, non-commercial use, and organizations with fewer than ten people and under USD 1 million in annual revenue, including funding. Larger organizations need a license.
Install a delivered file with ufo license install ./license.json, then run ufo license status. A fresh file arrives for each paid period; install renewals with ufo license install ./license.json --replace. Checks are offline. For delivery or recovery help, contact support@krauq.com with the order number.
Report a security problem to support@krauq.com with "Security" in the subject.