
Mammoth Analytics
io.mammoth由 mammoth.io 發布官方發布者v0.2.12更新於 Nov 4, 2026
Explore, clean, transform and export your Mammoth Analytics data from an AI client.
發布方自己的服務:Mammoth Docs
概覽
Mammoth Analytics 的 MCP 伺服器,讓 AI 用戶端以登入使用者身分探索、清理、轉換並匯出 Mammoth 資料。
- 可以做什麼
- 透過讀取工具探索 Mammoth 資料,回傳裁切過的 API 結果
- 清理與轉換資料,將轉換對應為管線任務並等待任務完成
- 操作檢視、管線、檔案與儀表板等各類工具模組
- 匯出資料,並回傳 Mammoth 網頁應用程式的連結給使用者
- 透過短期上傳頁面接收本機檔案,以便在 Mammoth 中使用
- 適用情境
- 當資料存放在 Mammoth Analytics,且希望 Claude、ChatGPT 等 AI 用戶端在對話中直接檢視、清理、重塑或匯出資料時使用。適合已在 Mammoth 工作區與專案中作業的分析師與團隊。
- 執行需求
- 可使用 mcp.mammoth.io 託管端點,加入 MCP 用戶端即可,無需安裝;也可在本機安裝 mammoth-mcp-server Python 套件。兩者都需要 Mammoth 帳號並透過 OAuth 登入,選擇工作區與專案。本機部署另需 MCP_ENCRYPTION_KEY(Fernet 金鑰)與透過 MCP_REDIS_URL 指定的 Redis,並在 Mammoth 端完成 OAuth 設定。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Mammoth Analytics,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.mammoth%2Fmcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"mammoth-analytics": {
"type": "http",
"url": "https://mcp.mammoth.io/mcp"
}
}
}README
mammoth-mcp-server
The Mammoth MCP server. An AI client (Claude, ChatGPT) uses its tools to explore, clean, transform and export data in Mammoth, as the signed-in user.
The server depends on one Mammoth package: the SDK (mammoth-io). Every tool reaches Mammoth
through the API, as the SDK does. The server imports no backend code.
Hosted or local
- Hosted: Mammoth runs this server at
https://mcp.mammoth.io/mcp. Add that URL to your MCP client and sign in with your Mammoth account (OAuth). Nothing to install. - Local:
pip install mammoth-mcp-server, then setMCP_ENCRYPTION_KEYand startmammoth-mcp-server(see From a virtual environment below).MCP_ENCRYPTION_KEYmust be a Fernet key: 32 url-safe base64-encoded bytes. Generate one withpython -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())". The server refuses to start without it, or with a value that is not a Fernet key.
Layout
Settings
Sign-in
This server signs nobody in. Mammoth's own authorization server does: the OAuth server the Mammoth API serves. This server is an OAuth resource server only.
- A client calls
/mcpwith no token. The server answers401and points to/.well-known/oauth-protected-resource/mcp. - That document names Mammoth's authorization server (
MAMMOTH_OAUTH_URL). The client reads the server's metadata there and sends the user to it. - The user signs in to Mammoth, picks a workspace and a project, and approves. The client asks
for a token for this server's URI,
<MCP_SERVER_URL>/mcp(theresourceparameter, RFC 8707). - The client calls
/mcpwith that token. On every request the server asks Mammoth what the token is for (GET /workspaces/current). The server takes the token only when Mammoth says it is live and was issued for this server's URI. - Each tool call goes to the Mammoth API with the same token, so the user's permissions apply.
A token belongs to one workspace. A tool call for another workspace is refused. A Mammoth API token made by hand in Workspace settings was issued for no server, so this server refuses it.
The server keeps no sign-in and no token, with one exception: an upload link holds the caller's token, sealed, in Redis until the user uploads or 30 minutes pass.
What Mammoth needs
- The MCP server's URI,
<MCP_SERVER_URL>/mcp, in mvc-serviceconst.ini, section[oauth], keyMCP_RESOURCES. Mammoth issues a token for no other resource. GET /workspaces/currentmust return the token'sresourcebeside the workspaceid. Without it this server refuses every token.
Before it works in an environment below lists every step, in the order to check them.
Run
As a container, which needs nothing on the host but Docker
The image is built from this repository, so a deployment never waits for a release of the SDK. Build it from the repository root, which is the build context:
With a Redis of its own, as one stack:
The server keeps nothing in memory between requests, so it scales by adding containers. They share only Redis.
From a virtual environment
What deploy/ holds
Before it works in an environment
Each of these stops the sign-in on its own, so check them in order.
-
DNS and the front door point
MCP_SERVER_URLat the server's port.deploy/nginx.example.confholds the server block. -
MCP_ENCRYPTION_KEYis set. It is the only secret this server keeps. Nothing else is required that has no default; see Settings. -
Mammoth knows this server:
MCP_RESOURCES = <MCP_SERVER_URL>/mcp, in mvc-serviceconst.ini, section[oauth]. Mammoth issues a token for no other resource. -
The Mammoth host serves its OAuth metadata where a client looks for it. For an issuer with a path, RFC 8414 puts the document at
/.well-known/oauth-authorization-server/api/v2, and apiv2 serves it at its own path, so the front door has to join the two. The second server block indeploy/nginx.example.confdoes it. Check it with:It must answer the document, not
404. -
The web app's OAuth consent page is deployed. Without it the user lands on a page that does not exist, and approves nothing.
Then a client connects to <MCP_SERVER_URL>/mcp, and the user signs in to
Mammoth and picks a workspace and a project.
Tests
The tests reach no server. The SDK client and the tools are real; only the HTTP transport under the client is replaced.
來源:mammoth-mcp-server/README.md,提交 4e7b528
工具
0版本歷史
6- v0.2.12最新Nov 4, 2026
- v0.2.11Nov 4, 2026
- v0.2.9Nov 3, 2026
- v0.2.7Oct 21, 2026
- v0.2.1Oct 13, 2026
- v0.1.1Oct 12, 2026
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