Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Govern your AI coding agent: frame the work, review the changes, keep a signed decision record.
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": {
"proof": {
"command": "npx",
"args": [
"-y",
"@toremlabs/proof-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add proof -- npx -y @toremlabs/proof-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"proof": {
"command": "npx",
"args": [
"-y",
"@toremlabs/proof-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"proof": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toremlabs/proof-mcp"
]
}
}
}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 ToremLabs 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(1.0.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, AI Deprecations
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.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Proof is an audit trail for AI-written code: it records what the agent changed, what a person actually reviewed, and who signed off. This package is its MCP server.
A Model Context Protocol (MCP) server that exposes a Proof workspace to any MCP-capable client (Claude Desktop, Claude Code, Cursor, Windsurf, custom agents). The server logs into the user's Proof account, talks to the same Supabase project the webapp talks to, and respects the same RLS. Webapp and MCP are two front-ends to one cloud workspace.
Current version: 1.2.0.
Setting this up as an AI agent on someone's behalf? Read
llms-install.mdinstead — same steps, written for you,
and it flags the one step that needs a human.
npm install -g @toremlabs/proof-mcp
npx -y @toremlabs/proof-mcp
The npm package is @toremlabs/proof-mcp and the command it installs is proof-mcp, so subcommands run directly:
npx -y @toremlabs/proof-mcp login
npx -y @toremlabs/proof-mcp login
The CLI prints a device code and a one-click URL of the form https://proof.toremlabs.com/device?code=XXXX-XXXX. Open it in your browser, sign in if you aren't already, and confirm the device. The CLI polls in the background and writes credentials to ~/.proof/credentials.json (chmod 600 on POSIX) the moment you confirm. Subsequent runs of the MCP are silent.
The login flow rides three Supabase Edge Functions: mcp-device-init, mcp-device-grant, and mcp-device-poll.
To unlink a machine: npx -y @toremlabs/proof-mcp logout, or open Settings ▸ Connected devices in the webapp to revoke remotely.
npx -y @toremlabs/proof-mcp whoami confirms which account a machine is currently linked to.
Claude Desktop. Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or %APPDATA%/Claude/claude_desktop_config.json on Windows:
{
"mcpServers": { "proof": { "command": "npx", "args": ["-y", "@toremlabs/proof-mcp"] } } }
Claude Code / Cursor / Windsurf. Drop a .mcp.json in the workspace root:
{
"mcpServers": { "proof": { "command": "npx", "args": ["-y", "@toremlabs/proof-mcp"] } } }
Restart the client. The Proof tools appear in the tool menu.
npx -y @toremlabs/proof-mcp whoami # show the linked account + device
npx -y @toremlabs/proof-mcp logout # delete the credentials file npx -y @toremlabs/proof-mcp --help # all options npx -y @toremlabs/proof-mcp --no-realtime # boot the server with live sync off (persisted) npx -y @toremlabs/proof-mcp --realtime # re-enable live sync
Device pairing writes a refresh token to disk. That works great on a personal machine, but it does not survive disposable/ephemeral environments (CI runners, cloud agent containers, "Claude Code on the web"): the filesystem is wiped between runs, and a Supabase refresh token is single-use under rotation — so a token baked into config dies after the first session.
For those environments, skip pairing and let the server sign in fresh on every boot from your account email + password (a password is not consumed on use, so it works forever with no re-pairing). Set three env vars:
PROOF_EMAIL=you@example.com # your Proof account email
PROOF_PASSWORD=your-account-password # secret — store it in a secrets manager PROOF_ANON_KEY=sb_publishable_... # project anon/publishable key (public, not a secret)
When PROOF_EMAIL + PROOF_PASSWORD are present they take precedence over any credentials.json, and the MCP server authenticates per boot — no device link required. Requirements:
PROOF_PASSWORD as a secret. Prefer a dedicated account if your environment can only expose env vars that are visible to its users.Legacy env names. The server previously shipped as Heuresis, so every
variable also accepts its old
HEURESIS_*spelling (HEURESIS_EMAIL,
HEURESIS_SNAPSHOT, …). ThePROOF_*name wins when both are set. Machines
paired under the old
~/.heuresis/directory keep working — reads fall back
to it and the next write migrates to
~/.proof/.
When the MCP boots in cloud mode it subscribes to the workspace over Supabase Realtime and notifies the client whenever a nodes, edges, projects, or ideas row changes. Edits made in the webapp show up in the agent's view without a manual refresh, and writes from one MCP-connected client reach any other connected client the same way. Pass --no-realtime to disable the subscription (useful if the chatter is noisy or the client logs every notification). The preference is saved to ~/.proof/config.json so the flag only needs to be passed once.
53 tools total: 49 data tools against the cloud workspace, plus 4 operator tools that drive the same ideation operators the webapp uses.
Reads. get_workspace_summary, list_projects, get_project_graph, get_subtree, list_concepts, list_edges, get_concept, search_concepts, find_concepts, find_orphans, list_recent_decisions. Most agent sessions start with get_workspace_summary or list_projects.
Concept writes. add_concept, update_concept, bulk_add_concepts, set_parent, link_concepts, add_kref, validate_concept, set_standing, archive_concept, unarchive_concept, star_concept, remove_concept, remove_concepts.
Idea & project writes. create_idea, rename_idea, recolor_idea, set_idea_members, add_to_idea, delete_idea, create_project, update_project, delete_project.
Agent runs & handoffs. list_agent_runs, get_agent_run, update_agent_run, list_pending_handoffs, claim_handoff.
Evidence, proof & review. add_evidence, add_challenge, record_proof, get_concept_proof, list_proofs, list_verification_records, get_verification_record, submit_review_summary.
Every write that targets a concept stamps a row in public.provenance with origin='mcp', so the webapp's session log shows which surface and which device made the change. Writes at the idea, project or agent-run level do not: a provenance row is keyed to a node (node_id NOT NULL), and those operations have no single concept to point at.
Operators (4). run_operator (generate candidates with Branch / Matrix / ASIT / TRIZ / Combine / Free / Contradiction), run_operator_and_commit (same, plus commit the result in one round-trip), expand_concept (recursive Branch; expansion is geometric, so it is capped by the number of model calls it makes, not by depth × breadth), and get_run (fetch a prior operator run).
Tool input shapes mirror their counterparts in the webapp's src/agent/tools.ts, so an agent that uses both surfaces sees a uniform contract.
Without credentials, the server can read a JSON workspace export from disk and expose the read-only tool set (get_workspace_summary, list_projects, search_concepts, get_concept, get_subtree, get_project_graph, list_recent_decisions). Point PROOF_SNAPSHOT at the file:
export PROOF_SNAPSHOT="/absolute/path/to/your-export.json"
npx @toremlabs/proof-mcp
Export a workspace from the webapp via Settings → Workspace → Export. This mode is a convenience for offline / read-only use; cloud mode is the primary path.
AGPL-3.0-or-later.