Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Connects AI assistants to QCDatabase.AI for everyday construction quality-control work.
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.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.qcdatabase.ai/mcpFühre das in deinem Terminal aus
claude mcp add --transport http qcdatabase https://mcp.qcdatabase.ai/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"qcdatabase": {
"url": "https://mcp.qcdatabase.ai/mcp"
}
}
}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": {
"qcdatabase": {
"type": "http",
"url": "https://mcp.qcdatabase.ai/mcp"
}
}
}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.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.qcdatabase.ai/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
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.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde über die Domain qcdatabase.ai bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
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 in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, yontu
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.
Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.
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.
A small program that lets an AI assistant (like Claude) do your everyday QC Database work for you — set the project you're working on, upload records, read what the AI pulled off a document, and find and close out the items still needed for a complete, traceable turnover package.
It runs on your own computer. Your AI assistant talks to it; it talks to QCDatabase.AI on your behalf, using your own login.
Built on the official Model Context Protocol Python library and the QC Database MCP specification — published at qcdatabase.ai/mcp_server_spec.md and kept in this repo as mcp_server_spec.md.
Once it's connected, you can talk to it in plain language. For example:
You need Python 3.10 or newer on your computer.
brew install python or get it from python.org/downloads.To check it's installed, open a terminal (PowerShell on Windows, Terminal on Mac) and run:
python --version
You should see Python 3.10 or higher. (On some Macs the command is python3.)
From a terminal, in this folder:
pip install ".[runtime]"
That's it. This installs the server and a command called qcdatabase-mcp.
If
pipisn't found, trypython -m pip install ".[runtime]"(orpython3 -m pip install ".[runtime]").
Claude Desktop launches this server for you and shows its tools in your chats. Set it up once:
If you don't have it, download it from claude.ai/download and sign in.
In Claude Desktop:
This opens (and, if needed, creates) a file named claude_desktop_config.json. You can also open it directly:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.jsonPut this in the file. If the file already has other servers, just add the "qcdatabase" block inside the existing "mcpServers" section.
Windows:
{
"mcpServers": { "qcdatabase": { "command": "python", "args": ["-m", "qcdatabase_mcp"] } } }
Mac (Python is usually python3 there):
{
"mcpServers": { "qcdatabase": { "command": "python3", "args": ["-m", "qcdatabase_mcp"] } } }
Save the file.
If Claude can't start it (you see "python not found" or the server fails),
use the full path to Python instead of just
"python". Find it by running
where python(Windows) orwhich python3(Mac) in a terminal, then paste
that path as the
"command". For example on Windows:
`json
{
"mcpServers": {
"qcdatabase": {
"command": "C:\\Users\\you\\AppData\\Local\\Programs\\Python\\Python312\\python.exe",
"args": ["-m", "qcdatabase_mcp"]
}
}
}
`
(Use double backslashes
\\in Windows paths inside JSON.)
Fully quit and reopen the app (on Windows, also close it from the system tray; on Mac, Quit with Cmd-Q — closing the window isn't enough). The new server only loads on a fresh start.
Start a new chat and look for the tools/connector indicator (a slider or tool icon near the message box). Click it and you should see qcdatabase with its tools listed. If you don't, see Troubleshooting.
Then ask Claude to "connect to QC Database" to sign in — see below.
login tool). Your web browser opens; log in and pick which company workspace you want to connect. That choice locks the connection to that one organization. You only do this once — it's remembered.login, logout, auth_status, whoamilist_tenants, list_projects, set_project, get_active_project, list_project_members, list_lists, list_list_items, list_map_item_schemas, get_map_item_schema, list_document_folders, list_form_schemascreate_list_item, update_list_item, delete_list_item (a soft delete — the entry stops appearing in list reads but stays on record)update_project, list_jobs, create_job, update_job, list_packages, create_package, update_package, list_line_specs, create_line_spec, update_line_spec (updates change only the fields you pass; name a field in clear to empty it)upload_document, upload_document_version, download_document, upload_drawing, upload_large_format_drawing, upload_drawing_to_package, upload_drawing_version, upload_large_format_drawing_version, attach_photolist_drawings (filter by type, status, job, package, or updated_since to see only drawings changed since a date-time), get_drawing (incl. pixel width/height — the HTML5-canvas coordinate space for map items), export_drawing, export_large_format_drawing, update_drawing (identifying metadata), move_drawing_to_package (existing drawing and destination in the active project; only changes package assignment, without uploading or duplicating)list_fillable_templates, get_fillable_template, download_fillable_template, submit_fillable_templatelist_documents (filter by folder, status, job, package, tags and metadata values), get_document_history, delete_document, bulk_delete_documents, list_deleted_documents, restore_document, bulk_restore_documents (deletes are soft: the document is archived and can be restored). download_document is the document exportget_document, set_document_extracted_data, list_map_items, get_map_item, create_map_item (place welds/flanges by pixel coordinates), update_map_item (rename, move, notes, assignee, working status), bulk_create_map_items, bulk_update_map_items (batch up to 500 items on one drawing/schema). Always call `list_map_item_schemas` first — see the CAD/PCF/.weldb note belowinspect_zipmap, upload_zipmap — see Zipmapslist_repair_codes, add_map_item_repairlist_form_submissions, create_form_submission, get_form_submission, update_form_submission, complete_form_submission, create_note, list_notes, resolve_notelist_photos, attach_photolist_itp_line_items, get_itp_line_item, create_itp_line_item, update_itp_line_item, mark_map_item_complete, mark_map_item_accepted, mark_itp_complete, mark_itp_acceptedlist_lock_types (read only), list_locks, get_lock, add_lock (place a hold point — fit-up, tack-up, weld-cleanliness, FME, final-closure, boiler-tube FME sponge-in/sponge-out, etc. — on a map item or ITP line item so it can't be turned in until inspected), unlock_lock, assign_lock, delete_lock (withdraws a hold placed in error — a soft delete: kept in the audit trail, no longer holding the item; use unlock_lock for a hold that was actually satisfied). A lock is a construction quality gate, not a security control; place or clear one only at the explicit request of its owner/author or an authorized inspector. **Creating or editing lock *types* (the named hold definitions, and who may place/clear each) is intentionally not** exposed here — that permission-sensitive setup is done in the web app's Project Admin, and the assistant will point you therelist_reference_requests, create_reference_request, list_references, create_reference, turnover_reportlist_shippers, get_shipper, list_shipper_line_items, list_shipper_types, list_shipper_locations, create_shipper, update_shipper, set_shipper_status, add_shipper_line_items, update_shipper_line_item, remove_shipper_line_item (a soft delete), delete_shipper (project admins only; a soft delete). Any status other than draft locks a shipper; unlocking, receiving and checklists stay in the web app. Needs the shippers:write scope: connections approved before it was added must reconnect (stdio: run login again) to get itsemantic_search — natural-language search across the project's documents, drawings, large-format drawings, jobs, packages, list items, map items, form submissions, notes, and shipperssearch_user_manual (ask "how do I…?" questions and read the product help articles), list_user_manual (browse the help contents)create_training, list_trainings, get_training, list_training_ideas, get_training_idea, get_training_policy (admins), upload_training_policy, get_training_authoring_guide, get_training_template, validate_training_bundle (free), upload_training_version (free; stores a private version only you can play), submit_training_review ($25 security review, needs confirm_charge), get_training_review and download_training_version (reviewed versions only, for co-developers). The local server zips a bundle folder itself and sends it straight to redline.school; on the hosted server, send a zip with begin_upload first. File contents never pass through the AI. These tools take an explicit scope rather than the active project. Connections approved before Trainings existed must re-approve to get trainings:read/trainings:write. Publishing, delisting and reassigning owners stay in the QC Database web app.assign_training and invite_users (admins; both preview until `coNur der Anfang wird gezeigt; den Rest findest du im Repo