
Aethis Mcp
io.github.Aethis-ai由 GitHub 帳號 Aethis-ai 發布v0.22.0更新於 Oct 24, 2026
Deterministic eligibility decisions and test-driven rule authoring via the Aethis developer API.
概覽
Aethis MCP 讓助理對政策規則集執行確定性的資格判定,並在內測權限下從來源文本撰寫、測試與發布規則。
- 可以做什麼
- 執行判定與檢視規則:以欄位值對規則集或規則手冊做判定,取得所需欄位結構,解釋結果與失敗原因,並以圖或 Mermaid 圖輸出規則集地圖
- 引導式問答:回傳資訊量最大的下一個問題及剩餘問題的最佳路徑,直到可以得出結論
- 瀏覽規則集:探索公開目錄中的規則集,並列出自己租戶下的專案、規則集與規則手冊
- 撰寫規則手冊與章節:建立或更新規則手冊,探索、調整並驗證章節與欄位詞彙,設定欄位規格
- 產生、測試與發布:帶測試案例建立規則集,執行產生,反覆調整直到測試通過,加入指引,發布或取消產生
- 管理租戶內容:封存專案與規則集
- 適用情境
- 適合需要把法規、政策或合約條款套用到具體輸入,並要求可重現、可稽核的「符合/不符合/無法判定」結論,而非自由文字判斷的情境。也適合把政策文件轉成經過測試的規則集的團隊,但這需要受邀的內測撰寫權限。
- 執行需求
- 以 stdio 在本機執行,通常透過 npx aethis-mcp 或 aethis-cli 安裝器接入。判定與公開目錄工具不需金鑰。撰寫功能需要邀請,以及已儲存的 CLI 設定檔(AETHIS_PROFILE、XDG_CONFIG_HOME)或 AETHIS_API_KEY,且每次呼叫需要 Anthropic 金鑰,建議以 AETHIS_ANTHROPIC_KEY_ENV 指定變數名稱。AETHIS_BASE_URL 可覆寫預設端點。需要能連線至 Aethis API 的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Aethis Mcp,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
aethis-mcp
MCP server for the Aethis decision engine. Compile legislation, policy, contracts, and regulation into deterministic logic — same input, same answer, every time, with a full audit trail.
[npm version] [Docs] [License: MIT]
Install · Skills · Quick start · Tools · Setup · Authoring · DSL · Troubleshooting
Install
Authoring is in private beta. Decision tools (
aethis_decide,aethis_schema,aethis_explain,aethis_next_question) are public — no key required. Authoring tools (rule generation, test refinement, publishing) require an invite. Request access at aethis.ai/developer-access.
Recommended — one command via aethis-cli:
Wires the server into claude-code, cursor, claude-desktop, or windsurf. Idempotent. Restart your editor to pick up the change. Re-run after aethis account generate rotates a key. Full options: aethis mcp install --help.
Manual install:
For Cursor / Claude Desktop / Windsurf manual config, see Setup.
Onboarding an AI coding agent end-to-end? See docs.aethis.ai/agents/onboarding — install + verify + auth + workflow patterns in one page.
Skills
After the MCP server is installed, add reusable agent workflows with aethis-skills:
The skills package provides workflows for policy-to-ruleset authoring, test/refine/publish loops, decisions with trace, and regression comparison. It calls the MCP tools in this package; it does not replace the MCP server.
Quick start
Public rulesets work without a key. Browse: aethis_discover_rulesets({}) or docs.aethis.ai.
Engine determinism + accuracy benchmarks: Aethis-ai/confidently-wrong-benchmark.
Tools
35 tools across six groups.
aethis_graph is public for a public showcase ruleset (ruleset_id) and tenant-scoped for a rulebook (rulebook_id) — it returns the ruleset-map graph ({nodes, edges, sections, stats}, each node's display.sentence/display.routes/display.expr) plus a ready-to-render mermaid diagram string. Pass include_graph_overlay: true to aethis_decide to get that same graph back with a specific decision's per-criterion status (satisfied/not_satisfied/pending) stamped onto it (graph_overlay in the response) — a "you are here" map for those inputs.
aethis_create_rulebook / aethis_update_rulebook manage a Rulebook's identity (name/domain/slug/description) and robot_hints — beat-keyed natural-language guidance for the conversational agent. Active beats: general_context, preamble, session_start, postamble, session_end, stuck. Reserved (accepted, not yet acted on): persona, conversational_style, section_transition. Composition (bridging rulesets via outcome_logic) is a separate, larger surface not covered by these two tools yet.
Workflows
Evaluate eligibility (2 calls):
Pass include_trace: true for the per-criterion evaluation trail. Pass include_explanation: true for human-readable rule descriptions.
aethis_decide accepts either ruleset_id (single ruleset, may be public) or rulebook_id (composed multi-ruleset rulebook) — the two are mutually exclusive. Rulebook decide always requires an API key (AETHIS_API_KEY); anonymous callers get HTTP 401. aethis_graph follows the same ruleset_id/rulebook_id split for the underlying map.
Conversational eligibility (next-question routing):
Returns the most informative remaining question and the optimal_path of remaining questions. Call again after each answer; the engine recomputes from the updated state. Stops when a decision is reachable.
Authoring (private beta): see Authoring.
Prompts
Setup
Decision tools work with no key. For invited authoring access, run aethis login, then install with aethis mcp install --target <client>. The installer references a saved profile so the host configuration does not contain the API key.
Claude Code
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
For authoring, add "env": { "AETHIS_PROFILE": "default", "XDG_CONFIG_HOME": "/absolute/path/to/config" }. Use your saved profile name and the absolute directory containing aethis/credentials (normally your home directory’s .config).
Cursor / Windsurf
Add to ~/.cursor/mcp.json or ~/.codeium/windsurf/mcp_config.json (same JSON shape).
Keys
AETHIS_PROFILE— non-secret saved profile name. It pins the account and endpoint used by this registration, even if the CLI’sactive_profilelater changes.XDG_CONFIG_HOME— absolute config directory containingaethis/credentials. Relative values and credentials symlinks escaping your home/config directory are refused; credential files must have no group/other permission bits (normally0600).AETHIS_API_KEY— optional deliberate process-environment override for the platform key. Prefer saved-profile references when installing; avoid putting raw keys in host config or command arguments. The host must securely supply the process environment; it may not inherit your shell environment.AETHIS_ANTHROPIC_KEY_ENV— the name of the env var holding the Anthropic key Aethis authoring tools may use (e.g.AETHIS_ANTHROPIC_KEY). The server never reads a provider key from the environment unless you set this. See Passing your Anthropic key safely.- Rotate via
aethis account generate+aethis account revoke <key_id>. Mint one key per machine for surgical revocation.
Credential precedence and restart behavior
MCP parses the CLI credentials file as YAML. AETHIS_PROFILE selects a named profile; otherwise the file’s active_profile (or default) selects it. The profile supplies both its API key and base_url, with https://api.aethis.ai as the default endpoint. With an explicit AETHIS_PROFILE, AETHIS_API_KEY and AETHIS_BASE_URL deliberately override their respective values. Without an explicit profile selector, AETHIS_API_KEY uses AETHIS_BASE_URL or the default endpoint, ignoring the implicitly active profile (including implicit anonymous). Missing or malformed explicitly selected profiles fail visibly, including when environment overrides are present. Explicit AETHIS_PROFILE=anonymous always stays unsigned. After anonymous setup, run aethis login and install again to reference the saved authoring profile, then restart the host.
A saved profile outranks old macOS Keychain entries. If no profile is configured and no explicit name is selected, MCP can use the legacy default keychain entry, then the older flat credentials.yaml file. Flat api_key/base_url files at aethis/credentials remain supported. A configured profile awaiting login stays unsigned instead of borrowing another stored key.
The server keeps its authenticated startup key and endpoint paired until restart. If it started without a key, an authenticated tool can pick up a later login for the same endpoint. A changed endpoint causes a visible refusal: restart the MCP host to load the new pair. Startup stderr reports only the credential source, never key values.
Passing your Anthropic key safely
Authoring tools (aethis_generate_and_test, aethis_refine, aethis_discover_fields, aethis_refine_fields, aethis_discover_sections, aethis_refine_sections) need an Anthropic API key per call. Three accepted forms — listed in preferred order:
The server sends a provider key to Aethis only when you configured one for Aethis. It never picks up ANTHROPIC_API_KEY (or any other variable) from your environment on its own, and an env-var name supplied in a tool call by the host model is refused unless it is the one you configured. Only Anthropic keys (sk-ant-…) are accepted; anything else is refused locally and not sent.
-
AETHIS_ANTHROPIC_KEY_ENV(recommended). In the MCP server config, put the key in a dedicated env var and name that var inAETHIS_ANTHROPIC_KEY_ENV. Tools then use it automatically. The raw value never appears in the tool call payload, so it does not land in the MCP host's session transcript on disk. -
anthropic_key_keychain(macOS). A keychain reference — either"account"(service defaults toaethis-anthropic-key) or"service:account". Store the key once withsecurity add-generic-password -U -s aethis-anthropic-key -a my-anthropic -w 'sk-ant-...', then call: -
anthropic_key(deprecated). Pass the raw key as a tool argument. Accepted for backwards compatibility, but the raw value is written verbatim to the host's session transcript JSONL on disk. If a key was ever passed this way, rotate it before relying on the safer forms.
Authoring (private beta)
Authoring requires an invite. Request access. Decision tools (above) are public.
Three-phase workflow. Phases 1–2 are for multi-section domains; skip them for single-section rules and go straight to Phase 3.
Phase 1 — Section discovery
Phase 2 — Field vocabulary
Phase 3 — Generate, test, publish
When a test carries expectations, set contract_version: 1. The optional
binding catalogue is generic authoring metadata: omit it when no binding
assertion is needed, or pass {} to assert that no review bindings exist.
The server must confirm the complete stored contract before generation begins.
aethis_create_ruleset creates a project; it does not append or replace tests
on an existing project. Use aethis_set_tests with the complete version-1
contract for a later replacement, then generate or refine that same project.
Legacy updates cannot discard stored assertions. Object keys named __proto__
are rejected in field-value and binding maps rather than silently discarded.
If generation polling times out, call aethis_generation_status({ project_id })
before retrying: use its telemetry_availability, server-authoritative
worker_lifecycle, and retry_readiness, and retry only when readiness is
ready. An old heartbeat alone is not proof that the worker died. Call
aethis_cancel_generation({ project_id, job_id, confirm_job_id }) only after
showing the observed job_id and receiving explicit confirmation to abandon
that active run. It releases the project's job ownership, but worker shutdown
may be cooperative rather than immediate; inspect the returned detail. It is a
destructive, API-key-protected mutation. The response distinguishes a new
cancelled transition from the idempotent already_cancelled result.
Guidance
Targeted hints without regenerating, plus cross-section principles for a domain:
process_type is rule_generation (default) or field_extraction.
Diagnose a failing test
[!IMPORTANT] Tests are the publish gate.
aethis_publishrefuses to publish a ruleset with a failing test. SMEs write the tests; the LLM generates the rules from source text + guidance; the platform refuses to ship rules that don't satisfy the tests. Better tests = faster convergence.
[!IMPORTANT] Anthropic key required for authoring. Configure
AETHIS_ANTHROPIC_KEY_ENVor useanthropic_key_keychain(macOS keychain ref) rather than the rawanthropic_keyargument — see Passing your Anthropic key safely. Used per-request, never stored server-side; the raw form, however, lands in the MCP host's session transcript on disk.
[!IMPORTANT] DATE fields use integer ordinals (
date.toordinal()), not ISO strings.2025-04-13=739354. Quick conversion:python3 -c "from datetime import date; print(date(2025,4,13).toordinal())".
DSL capabilities
Field types
Operators
Helpers
days_between(date_a, date_b)→Intyears_between(date_a, date_b)→Int— completed whole years between the two dates (leap-correct). Use this for age from a date-of-birth field; never derive age asdays_between(...) / 365.min(a, b, ...),max(a, b, ...)→Int- Constant arithmetic folded at authoring time (
5 * 365→1825)
Not supported
- Division between runtime field values
- Weighted scoring or probabilistic outcomes
- Lists as field values (use pre-aggregated
Int/Bool) - More than 3 outcome tiers (
eligible/not_eligible/undetermined)
Troubleshooting
Related
- aethis-cli — Python CLI; file-based authoring with YAML test cases
- aethis-examples — runnable rulesets (spacecraft, construction-CAR, consumer credit) and benchmark scenarios
- confidently-wrong-benchmark — paper, 225-scenario benchmark, LegalBench harness
Development
License
MIT
來源:README.md,提交 2b97ae1
工具
0版本歷史
4- v0.22.0最新Sep 30, 2026
- v0.20.0Sep 25, 2026
- v0.19.0Sep 25, 2026
- v0.18.0Sep 16, 2026
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