Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Route MCP capabilities through deterministic identity, policy, budget, and deadline constraints.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"gaugemesh": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add gaugemesh -- docker run -i --rm ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189 mcp-stdio프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"gaugemesh": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"gaugemesh": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
"mcp-stdio"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 aliengineering-byte 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.1)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, debuff
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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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