Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Govern your AI coding agent: frame the work, review the changes, keep a signed decision record.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"proof": {
"command": "npx",
"args": [
"-y",
"@toremlabs/proof-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add proof -- npx -y @toremlabs/proof-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"proof": {
"command": "npx",
"args": [
"-y",
"@toremlabs/proof-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"proof": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toremlabs/proof-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 ToremLabs 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.0)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, FOGA node
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间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.
A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.