Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Route MCP capabilities through deterministic identity, policy, budget, and deadline constraints.
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": {
"gaugemesh": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add gaugemesh -- docker run -i --rm ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189 mcp-stdioIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"gaugemesh": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}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": {
"gaugemesh": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}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 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto aliengineering-byte 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 (0.4.1) 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, dotnet-mcp
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.
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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 endpoint for MCP capabilities and model routes—without losing identity, authority, budgets, deadlines, side-effect semantics, or causal evidence between protocols.
GaugeMesh is a local-first Rust developer preview. It is deliberately narrower than a general AI gateway: every adapter must preserve declared invariants or reject the operation before a side effect. Route selection is fixed-point, deterministic, and explainable. The base deployment is one binary with memory or SQLite; it needs no hosted control plane, Redis, PostgreSQL, Docker, or Kubernetes.
Install without Rust from the checksummed, attested GitHub Release or run the multi-architecture GHCR image. Crates.io is not a GaugeMesh distribution channel. The real stdio MCP server is gaugemesh mcp-stdio; its Official MCP Registry metadata is checked in as server.json.
The source tree also provides opt-in bounded durable Runs: caller-authored plans over the existing Tasks, verified file outcomes, explicit resume/cancel, and offline evidence verification. See that contract for the local Unix boundary and the external installed-binary qualification commands.
Two explicit first-use paths are available from release source:
From a release archive:
gaugemesh demo
From source with Rust 1.88 or newer:
cargo run --locked --release -- demo
No account, credential, provider, network target, database, container, or existing MCP server is used. The command writes no file to the caller directory.
Actual output from the 0.1.0 release binary:
GaugeMesh demo
[ok] 2 MCP sources connected [ok] 1 model route connected [ok] colliding tool names isolated by capability identity: true [ok] 2 capabilities leased [ok] route selected under cost, deadline, and policy bounds [ok] deterministic failure reproduced [ok] recovery bounded to one attempt [ok] duplicate effects: 0 [ok] invariants preserved or strengthened: 23/23 [ok] cleanup complete: no owned child or listener remains
Route: local-model -> docs-a__search Decision: sha256:169a6315aa69eb7fa3e3b5aae70ede14d4c9ec71c0281d217fd84201414567f1 Evidence: sha256:9a9cdc8b673bab79ae96cf5aba5b7895d6e6e5f425407d1bd64da8701a1314e6
search name without sharing an authorization identity.The demo is deterministic fixture evidence, not a production-duration soak or security certification.
Inspect the route planner and its versioned decision contract independently. The final command uses a built-in fixture in which every candidate violates a hard constraint, so the output is a digest-bound denied decision rather than an unsafe fallback:
gaugemesh route explain
gaugemesh route explain --decision-contract gaugemesh route explain --deny-all gaugemesh route schema gaugemesh route validate decision.json
MCP clients --------------------+ /mcp
| OpenAI-compatible clients ------+--> GaugeMesh --> invariant + policy boundary | | before execution MCP servers needing models -----+ /v1/* +--> MCP stdio / Streamable HTTP +--> OpenAI-compatible providers +--> official/private registries
ResiliReplay ---------------------- verification only; never a production hop
GaugeMesh is an MCP server northbound and an MCP client southbound. It is an OpenAI-compatible server northbound and a client of configured compatible model providers southbound. Registry records are discovery metadata, not execution authority.
Create a strict loopback configuration:
gaugemesh init
Review and add a local stdio server. --command must resolve to an absolute executable and is launched with an argument array, never through a shell:
gaugemesh add mcp docs \
--command "$(command -v gaugemesh)" \ --arg mcp-stdio \ --protocol-revision 2025-11-25
add performs live discovery and writes the source only after tools, resources, templates, prompts, server identity, and revision are readable. serve loads reviewed sources into a bounded runtime, pins the capability snapshot, and rejects schema drift. Tools, resources, and prompts keep source-bound opaque identities even when readable aliases collide. Streamable HTTP sources use the same command with a reviewed --url; Registry search/inspect/approve is a separate trust path and never installs or executes a discovered package.
The provider must expose a compatible /v1/models endpoint. To exercise the complete no-key setup, keep gaugemesh serve running in one terminal and add its built-in local model route from another:
gaugemesh serve
gaugemesh add model local-provider \
--base-url http://127.0.0.1:8090/v1/ \ --provider-model-id local \ --context-limit 8192 \ --max-output-tokens 1024 \ --cost-table-version local-2026-08-30
For a credentialed provider, pass the environment-variable name, not its value:
gaugemesh add model hosted \
--base-url https://provider.example.test/v1/ \ --provider-model-id reviewed-model \ --credential-env PROVIDER_API_KEY \ --cost-table-version contract-2026-08
Configured routes are checked against capability, context, deadline, token, money, retry, data, and side-effect limits before selection. Cost tables are version-bound; estimates are not presented as provider billing facts.
Start the data and separately bound health listeners:
gaugemesh doctor
gaugemesh list gaugemesh serve gaugemesh connect generic-mcp
Loopback defaults are http://127.0.0.1:8090/mcp for Streamable HTTP, http://127.0.0.1:8090/v1 for the model API, and http://127.0.0.1:8092/healthz for health. The official MCP conformance client connects to /mcp separately for both supported revisions. GaugeMesh also has real RMCP integration tests as an upstream client over stdio and Streamable HTTP. Product-specific client installers are not emitted without installation evidence.
Point a client that supports a custom base URL at GaugeMesh:
gaugemesh connect openai-compatible
curl http://127.0.0.1:8090/v1/chat/completions \ -H 'content-type: application/json' \ -d '{"model":"local","messages":[{"role":"user","content":"hello"}]}'
The release gate also executes openai-python==3.6.0 against that base URL for model listing, chat completions, and Responses. The implemented surface is GET /models, POST /chat/completions, and POST /responses, with bounded JSON and SSE behavior. Unknown request fields are rejected. This is a verified subset, not complete OpenAI API compatibility.
Tool execution is off unless a request explicitly selects a GaugeMesh mode and bound:
x-gaugemesh-tool-mode: lease
x-gaugemesh-max-tool-rounds: 1 x-gaugemesh-deadline-ms: 3000
These extension headers are not OpenAI fields. An MCP server can call /v1/* directly for model access; deprecated MCP sampling is not silently converted. Unsupported sampling and elicitation paths return stable errors or enter an explicit approval backend.
Run gaugemesh route explain for the original 0.1.0 bare plan containing accepted and rejected candidates, integer score terms, the stable tie breaker, and policy/metric snapshot digests. Existing machine consumers retain that shape. Opt into the versioned selected wrapper with --decision-contract. gaugemesh route explain --deny-all returns the new contract with status: "denied", stable GM_ROUTE_NO_ELIGIBLE_CANDIDATE, every constraint rejection, and the snapshot digests. Route IDs must be unique, denied candidates must carry nonblank reasons, and candidate/reason ordering is canonical. Both selected and denied contracts include decision_digest, a SHA-256 digest over the canonical unsigned decision fields other than the digest itself.
The checked-in route-decision JSON Schema documents the wire contract. Save a decision and run gaugemesh route validate to check its schema, digest, and derivable selection/denial invariants entirely offline. The digest is unsigned and recomputable integrity, not authentication against a party able to rewrite the whole decision. Decisions contain route IDs and constraint reasons; validation does not upload them, and they should be sanitized before sharing. The analogy boundary is documented in the physics model.
0.1.0 remote listener authenticates OIDC bearer tokens rather than exposing an API-key administration service.kill_on_drop, startup/framing limits, restart budgets, and a security-partitioned process key. Unknown servers are non-shareable.See SECURITY.md, THREAT_MODEL.md, and the adversarial evidence. The bounded durable MCP Tasks route documents its separate failure and trust boundaries. GaugeMesh does not claim exactly-once execution, production readiness, universal client/provider support, official MCP status, MCP certification, or security certification.
| Surface | Eviden
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