
BIGHUB
io.bighub由 bighub.io 發布v0.2.1更新於 Oct 24, 2026
Decision learning for AI agent actions. Evaluate, score, decide, and learn from outcomes.
概覽
BIGHUB 的決策層:助理可提交擬執行的 IT 動作,取得執行、複核或阻擋的決策,並回報結果。
- 可以做什麼
- 評估擬執行的 IT 動作,回傳含執行模式、can_run、複核與風險標記的正規化決策
- 建立決策封包、執行 DecisionBrain,並處理待人工複核的請求
- 回報結果,查詢決策案例、先例、校準與檢索訊號
- 檢視洞察、模擬、特徵、學習執行與執行期事件擷取
- 管理 Okta、Slack、GitHub、雲端與 CI 等系統整合及其輪詢
- 管理營運限制、核准、終止開關、Webhook、API 金鑰與登入驗證
- 適用情境
- 適用於助理提出具實際後果的 IT 動作時,例如授予存取權、輪換憑證、部署或回復服務、變更 IAM 或 CI/CD 設定、匯出敏感資料,並希望在執行前取得決策與複核關卡。僅回答問題或只做唯讀查詢的助理不需要它。
- 執行需求
- 以 Node.js 18+ 透過 npx 在本機以 stdio 方式執行。需要 BIGHUB 帳號,以及 BIGHUB_API_KEY 或 BIGHUB_BEARER_TOKEN 其中之一;API 金鑰、Webhook 與驗證等管理工具需要 bearer token。選用設定包括 BIGHUB_BASE_URL、逾時、重試與允許不安全 HTTP 的開關。需要能連線至 BIGHUB API 的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 BIGHUB,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
@bighub/bighub-mcp
BIGHUB's Better Decision layer as an MCP server. Turn proposed IT agent actions into better decisions before they run from any MCP-compatible client.
MCP server for better decisions on IT agent actions.
Table of contents
Start here
- Install
- Quickstart
- When to use bighub-mcp
- Typical MCP Loop
- Better Decision primitives
- Trajectory-aware evaluation
Tool reference
- Better Decision primitives · Core loop · Actions · Outcomes · Decision cases · Precedents · Calibration · Multi-signal retrieval · Insights · Simulations · Learning · Features · Runtime ingestion · System integrations · Operating constraints · Approvals & kill switch · Events · Webhooks · API keys · Auth · Utility
Reference
Install
Requires Node.js 18+.
Quickstart
Set your API key:
Run the server in stdio mode:
Add it to your MCP client configuration:
Works with MCP-compatible clients such as Claude Desktop and Cursor.
When to use bighub-mcp
Use this server when your MCP-connected agent proposes IT actions such as:
- granting Okta access
- rotating credentials
- deploying or rolling back services
- changing CI/CD, cloud, or IAM settings
- exporting sensitive data
- posting incident or support updates
- resolving actions that need human review
If your agent only answers questions or performs read-only lookups, you don't need this. It's designed for agents that make decisions with real-world consequences.
Typical MCP Loop
- Send the proposed IT action to
bighub_decide - Let BIGHUB build or use a Decision Packet
- Run DecisionBrain and return execution mode, review/context flags, and a decision path when available
- Execute only when
can_runis true and no blocking flags are set - Route to review when BIGHUB asks for human approval or modification
- Optionally report the outcome later
Better Decision primitives
The modern MCP surface is centered on the decision flow:
bighub_decide and bighub_run_brain return a normalized decision object first:
recommended_action, mode, can_run, needs_review, needs_more_context,
should_not_run, risk, confidence, expected_regret, reason, system,
selected_model when available, decision_path when available, and counts for
verification steps and obligations. The original backend payload is still
available under raw for advanced callers. Legacy tools such as
bighub_actions_evaluate remain available for compatibility.
bighub_build_packet uses the same canonical JSON SHA-256 hashing strategy as
the Python SDK, so packet hashes match across SDK and MCP clients.
Trajectory-aware evaluation
BIGHUB evaluates actions not only in isolation, but also in the context of what happened before. As deployment, review, and outcome history accumulates, similar IT actions can receive better recommendations over time.
Complete Tool Reference
BIGHUB tools are organized by domain. The core loop tools are listed first.
Core loop
Actions
Outcomes
Decision cases
Precedents
Calibration
Multi-signal retrieval
Insights
Simulations
Learning
Features
Runtime ingestion
System integrations
Supported system providers include okta, slack, github, sentry, datadog, aws_cloudtrail, terraform, kubernetes, argocd, gitlab, jenkins, azure, prometheus, grafana, and openshift. Common aliases such as github-ci, cloudtrail, terraform-cloud, k8s, argo-cd, gitlab-ci, and ocp are normalized to backend provider IDs.
Poll snapshots and histories are redacted before persistence and exposure. They provide best-effort operational context; they are not a replacement for production monitoring.
Operating constraints
Approvals & kill switch
Events
Webhooks
API keys
Auth
Utility
Environment Variables
* One of BIGHUB_API_KEY or BIGHUB_BEARER_TOKEN is required.
Management tools (API keys, webhooks, auth) require user JWT auth via BIGHUB_BEARER_TOKEN.
Local Development
Links
- bighub.io
- GitHub - bighub-io/bighub
- npm - @bighub/bighub-mcp
- PyPI - bighub (Python SDK)
- PyPI - bighub-openai
License
Apache-2.0
來源:servers/mcp/README.md,提交 61f4e2f
工具
0版本歷史
1- v0.2.1最新Sep 16, 2026
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