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)
Route MCP capabilities through deterministic identity, policy, budget, and deadline constraints.
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。
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": {
"gaugemesh": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}ターミナルでこれを実行します
claude mcp add gaugemesh -- docker run -i --rm ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189 mcp-stdioプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"gaugemesh": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}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": {
"gaugemesh": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}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。
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6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 aliengineering-byte 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(0.4.1)がレジストリに届いたのは2 か月前です。
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Dockerも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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。
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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