Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Self-hosted code intelligence: cross-repo Q&A, dependency audits and PR review, over MCP
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.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"celmis": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/celmis-labs/celmis-api:v0.1.30"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add celmis -- docker run -i --rm ghcr.io/celmis-labs/celmis-api:v0.1.30In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"celmis": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/celmis-labs/celmis-api:v0.1.30"
]
}
}
}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": {
"celmis": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/celmis-labs/celmis-api:v0.1.30"
]
}
}
}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 Herausgeber (constantinemakoid) ist nicht der Repo-Inhaber (Celmis-labs); vielleicht hat jemand anderes ihn eingetragen
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 0 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 (0.1.30) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker 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.
Understand, review, secure and fix your code, in one self-hosted place. One machine. Your model, your network. The code never leaves the company.
Website · Documentation · Quick start · What's new · Results
Celmis puts everything an engineering team needs to work with its code in one place. It indexes all of your repositories once, into a symbol graph built without a model, and every tool reads that same index:
file:line citations, in the app or from a coding agent (Claude Code, Cursor, Codex) over MCP, plus the team's own skills and checklists for the task at hand;It is built for the team that ships the code and answers for it in production. Instead of a separate tool for each of those jobs, each with its own access rules and its own copy of your code, one installation holds them all. The aim is a small team that can run several products and the integrations between them.
What "beyond its own repository" means today. Before a merge, the review checks the other repositories for values the change removes that they still hardcode, for deploy files that point at the changed repository, and for code that calls a changed function by the same name, quoting both sides. These are checks, not a call graph between repositories; that graph is not built yet.
| Ask the code | Questions across several repositories, answered with file:line citations on both sides of a call. Ask the code |
| Codebase and MCP | 51 tools over MCP, a compact /mcp/dev profile for editors, a Claude Code plugin, and versioned knowledge packs of the skills your team already explains out loud. MCP · Packs |
| Pull-request review | Agents read the diff and, where the graph exists, who else calls what changed, across repositories. Talk to it with @celmis, teach it with remember, and it stays quiet when there is nothing to say. Review |
| Evidence | Dependency audit, CycloneDX SBOM and an evidence pack whose manifest a third party recomputes. SBOM and evidence |
| Fix from here | An alert or a dependency finding becomes an embedded session, then a branch, then a pull request. A human reviews and merges; Celmis never merges. Fix from here · Alerts |
| Access you can defend | Repositories are closed by default, MCP tokens are issued per person, every call is audited, secrets are withheld at the source, and a repository can be shared with another workspace for a fixed time. Who can see what · Sharing |
git clone https://github.com/Celmis-labs/Celmis.git celmis && cd celmis
./scripts/init-env.sh # writes .env and fills every secret docker compose --env-file .env up -d
Then open http://localhost and paste one model provider key under Settings → LLM Setup.
197 seconds from clone to six healthy services on a clean server. Postgres and Qdrant are bundled; about 4 GB of RAM. Details in Quick start. An installation without a licence admits up to five people; see Licensing.
@celmis commands and questions in the thread, remember rules, learning from what the team dismisses, incremental review of each push, Jira acceptance criteria checked in the summary (2.3).brief and skills; celmis-pack publishes them (3.0).Every release is in the changelog.
Celmis does not watch your services; Grafana or whatever you already run does that. The application ingests no logs of its own and starts from the alert. The repository ships an optional observability overlay (Prometheus, Loki, Promtail, Grafana) that does collect them, platform-wide rather than Celmis-only:
docker compose -f docker-compose.yml -f docker-compose.observability.yml up -d
Every port binds to 127.0.0.1 and is reached over an SSH tunnel, because Loki has no authentication. GRAFANA_ADMIN_PASSWORD is required.
Ask a question that spans two repositories, and the answer quotes both, as in the screenshot at the top of this page. That is not a search result. The gateway and the payments service are separate repositories with no shared code, and the answer traces the call chain between them — then notices, unprompted, that the Kafka topic name is hardcoded in both and that changing one silently breaks the other.
A reviewer that reads only the diff structurally cannot say that. It never had the other repository open.
| You are a PM, a delivery lead or the client and want to know what state a group of projects is in, or how something actually works | Ask it. From any device, anywhere, without booking time from an engineer and without a meeting whose only output is a paragraph → Ask the code |
| A new engineer has a question a senior would have to answer | Every one of those pulls someone experienced out of flow, at the moment they are already covering. The codebase answers instead, with file:line citations → Ask the code |
| Two teams share an integration and neither can read the other's repository | Load it, grant the right to ask, and deny the paths that must stay private. They get answers; the credentials are refused at the source → Who can see what |
| A customer or an auditor asks for your SBOM | One button, CycloneDX, plus an evidence pack whose manifest they recompute themselves — against a hash you publish where the pack is not → Dependencies, SBOM and the evidence pack |
| A vulnerability lands in a dependency | *Fix from here* hands an embedded session the repository, the package and the finding. It edits, the runner pushes a branch and opens a PR → Fix from here |
| A pull request needs reviewing | Agents read the diff — and, where the graph is built, who else calls what is being changed, including from another repository → Pull-request review |
| Forty services need the same thing done to them | Write the sentence. Celmis shows which repositories it resolves to and waits for a second press, rather than finding them among forty and pressing a button forty times → Ask for work across repositories |
| An alert fires at 02:00 and you are not at a desk | It lands in Celmis and goes out to the workspace's chat channel, and *Fix from here* opens a session already holding the alert. The runner opens the pull request → Alerts, and fixing from a phone |
| Your own agent or editor needs to understand the codebase | Point it at /mcp/. Fifty-one tools over the same index, thirty-five of them read-only, under the same access rules — no second copy of your code anywhere → Connect Claude Code and other MCP clients |
The first three are the ones a code-review tool does not do at all, and they are the reason this is a platform rather than a reviewer: index once, then read that index from whichever side of the work you are standing on.
| 197 seconds | from git clone to six healthy services, measured on a clean server |
| $0.118 | per pull request reviewed, on the model this ships with |
| 17th of 50 | on the Martian Code Review Bench offline set, under all three judges |
That last one is deliberately unflattering, and it stays. It measures one of the surfaces below — pull-request review on isolated single-repository PRs — and that set has no sibling service for a symbol to have consumers in, so the thing this product is built around is not in the number at all. The table, the audit of every finding it scored false, and the command that reproduces both are in Results.
| Docker | 24+ with Compose v2 | Docker Desktop on macOS/Windows, the native engine on Linux |
| A model API key | one of | Google Gemini, Anthropic, OpenAI, OpenRouter, Groq or Mistral. A free Gemini key is enough to evaluate: https://aistudio.google.com/app/apikey |
| RAM | ~4 GB free | Measured on a real indexing run: 1.1 GB peak across all five containers, 565 MB at rest |
Postgres and Qdrant are **bundled
Nur der Anfang wird gezeigt; den Rest findest du im Repo