
Abnormal MCP Server
io.github.GregDog由 GitHub 帳號 GregDog 發布v1.1.0更新於 Oct 24, 2026
Abnormal Security MCP: threats, search, remediation, ATO cases, vendor/BEC, and evidence download.
概覽
讓助理查詢 Abnormal Security 的威脅、郵件、員工、ATO 案件與供應商資料,並可選擇啟用處置與證據下載工具。
- 可以做什麼
- 這是一個針對 Abnormal Security 的 MCP 伺服器,預設提供 27 個唯讀工具,涵蓋威脅日誌、郵件搜尋、信箱活動、員工身分與登入紀錄、ATO 案件、供應商入侵案件、Detection 360 報告、URL 重寫點擊與稽核日誌。可選擇啟用的工具集會加入處置動作(搜尋處置、威脅修復/取消修復、案件狀態更新、提交 Detection 360 報告)以及證據下載(郵件 EML 與附件)。預設以本機程序透過 stdio 執行,也可選擇啟用 Streamable HTTP。
- 適用情境
- 當助理需要根據 Abnormal Security 調查郵件威脅、商業郵件詐騙、帳號接管案件或供應商風險,且唯讀存取已足夠時使用。只有在確實需要處置或取得郵件與附件時,才啟用對應開關。
- 執行需求
- 需要本機執行環境(原生 Go 二進位檔或 Docker 映像 ghcr.io/gregdog/mcp-server-abnormal)。必須提供 ABNORMAL_API_TOKEN;ABNORMAL_BASE_URL 用來選擇美國、歐盟或 FedRAMP 端點。選用開關:ABNORMAL_ALLOW_RESPONSE、ABNORMAL_ALLOW_EVIDENCE_DOWNLOAD、ABNORMAL_MAX_EVIDENCE_BYTES。需要能連線至 Abnormal REST API 的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Abnormal MCP Server,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
Abnormal MCP Server
A secure, open-source Model Context Protocol server for Abnormal Security.
This project is not an official Abnormal product and is not endorsed by Abnormal AI.
Overview
abnormal-mcp lets MCP clients such as Cursor and Claude Desktop query Abnormal Security over stdio (default) or Streamable HTTP. It uses a lightweight handwritten client against the Abnormal Security Client API.
The server is read-only by default. Response and evidence download tools are opt-in and independent. Abnormal authorization still applies to every request.
Features
Read (always on)
- Threat list and get from the Threat Log
- Threat links and attachment metadata
- Threat action status poll (
abnormal_threat_action_get) - Message search with ergonomic filters (
since,sender,sender_domain,recipient,subject,url,attachment,sender_ip,judgement) - Search activity list and status
- Message remediation history
- AI Security Mailbox (formerly Abuse Mailbox) campaigns and unanalyzed reports
- Employee profile, identity (Genome), and recent logins
- ATO case list, detail, and analysis
- Vendor list, detail, activity, and vendor compromise cases
- Detection 360 report list (false positives and missed attacks)
- US, EU, and FedRAMP base URLs (configurable)
Response (opt-in: ABNORMAL_ALLOW_RESPONSE=true)
- Search remediation (
delete,move_to_inbox) withconfirm: truepreview gate - Threat remediate / unremediate with
confirm: truepreview gate - ATO case status update with
confirm: truepreview gate - Detection 360 report submit (false positive, missed attack/spam/graymail) with
confirm: truepreview gate
Evidence download (opt-in: ABNORMAL_ALLOW_EVIDENCE_DOWNLOAD=true)
-
Message EML download (by ABX message ID or search
cloud_message_id) -
Attachment analysis signals and attachment download
-
Metadata + bounded preview by default; optional base64 embed (max 1 MiB in tool output)
-
stdio transport (default) and opt-in Streamable HTTP
-
Native Go binary and Docker image
-
MCP Registry listing on tagged releases (
io.github.GregDog/mcp-server-abnormal)
Quick Start
Create an Abnormal REST API token in the Abnormal portal under Integrations → Abnormal REST API.
Installation
From source
Docker
Client configuration
Cursor (stdio)
Claude Desktop
See examples/claude-desktop.json.
Tools
27 read tools are always registered. With ABNORMAL_ALLOW_EVIDENCE_DOWNLOAD=true, five evidence tools are added (32 total). With ABNORMAL_ALLOW_RESPONSE=true, four response tools are added (31 total, or 36 with both gates enabled).
See docs/tools.md for parameters.
Configuration
Full list: docs/configuration.md.
Security
Read tools are always on. Response and evidence tools require explicit opt-in.
Local use only: this server has no built-in authentication or RBAC. Use stdio (default) or loopback HTTP on the same machine. Do not expose the HTTP endpoint on a network without your own access controls.
See docs/security.md and SECURITY.md.
Development
See docs/development.md.
License
Apache-2.0. See LICENSE.
來源:README.md,提交 4f7bfce
工具
0版本歷史
2- v1.1.0最新Sep 17, 2026
- v1.0.1Sep 16, 2026
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