
Proof
io.github.ToremLabs由 GitHub 帳號 ToremLabs 發布v1.0.0更新於 Oct 24, 2026
Govern your AI coding agent: frame the work, review the changes, keep a signed decision record.
發布方自己的服務:Proof Holdings
概覽
Proof 的 MCP 伺服器讓 AI 編碼代理讀寫 Proof 工作區:專案、概念、想法、證據、審查和已簽署的決策紀錄。
- 可以做什麼
- 讀取工作區摘要、專案、概念圖、子樹、邊和最近決策,並搜尋或尋找概念與孤立節點。建立、更新、連結、驗證、標星、封存或刪除概念,包括批次新增和設定父層。建立、重新命名、改色和刪除想法與專案,並管理想法成員。追蹤代理執行和待處理交接,並認領交接。記錄證據、質疑、證明和驗證紀錄,並提交審查摘要。執行構思算子(Branch、Matrix、ASIT、TRIZ、Combine、Free、Contradiction)並提交結果。
- 適用情境
- 當你希望 AI 編碼代理在 Proof 工作區內工作:把工作組織成概念和專案、記錄證據與質疑,並保留可審查、已簽署的變更與簽核紀錄時使用。也適合唯讀檢視匯出的工作區。
- 執行需求
- 透過 npx 從 npm 套件 @toremlabs/proof-mcp 在本機執行(需要 Node.js)。雲端模式需要先用 login 指令連結 Proof 帳戶,憑證寫入 ~/.proof/credentials.json。無頭環境改為設定 PROOF_EMAIL、PROOF_PASSWORD 和 PROOF_ANON_KEY(選用 PROOF_SUPABASE_URL)。快照模式需要 PROOF_SNAPSHOT 指向匯出的 JSON 檔案。雲端模式需要連線至 Proof 雲端工作區的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Proof,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
@toremlabs/proof-mcp
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.
Install
The npm package is @toremlabs/proof-mcp and the command it installs is
proof-mcp, so subcommands run directly:
Quickstart
1. Link this machine to your Proof account
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.
2. Point your MCP client at it
Claude Desktop. Edit
~/Library/Application Support/Claude/claude_desktop_config.json on macOS,
or %APPDATA%/Claude/claude_desktop_config.json on Windows:
Claude Code / Cursor / Windsurf. Drop a .mcp.json in the workspace root:
Restart the client. The Proof tools appear in the tool menu.
3. CLI subcommands
Headless mode (CI, cloud agents, disposable containers)
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:
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:
- Email + password sign-in must be enabled for the Supabase project, and the account must have a password set (passwordless / magic-link-only accounts need a password added first).
- Treat
PROOF_PASSWORDas 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/.
Live sync
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.
Tools
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.
Snapshot mode (read-only)
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 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.
License
AGPL-3.0-or-later.
來源:README.md,提交 b09edff
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0版本歷史
1- v1.0.0最新Sep 16, 2026
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