cargo-mcp
Connect Cargo MCP and Run Workspace Actions
Using Cargo through an AI client requires correct authentication, workspace selection, and action inputs. This skill guides hosted MCP connections, cost inspection, batch execution, and result reporting.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "cargo-mcp" from https://skillstore.io/skills/getcargohq-cargo-mcp.md and its manifest at https://skillstore.io/api/skills/getcargohq-cargo-mcp/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「cargo-mcp」。 Explain how Cargo MCP authenticates and checks my workspace.
預期結果:
- OAuth-capable clients discover authentication from the initial 401 challenge.
- Headless clients can use a workspace-scoped token supplied through the environment.
- Check workspace identity and report its name before performing actions.
正在使用「cargo-mcp」。 Explain whether query_models can join models and calculate totals.
預期結果:
- query_models retrieves records from one model using a limit and offset.
- It does not support joins, aggregates, or expression filters.
- Use the separate Cargo storage CLI workflow for those queries.
正在使用「cargo-mcp」。 What should the summary contain after my approved batch finishes?
預期結果:
- Record count: the number processed by the completed batch.
- Hit rate: the share producing usable results.
- Credits spent: the actual reported charge.
- Download: the output CSV link returned by the batch.
安全審計
中風險All 69 static findings are false positives involving Markdown formatting, documentation links, or intended Cargo connectivity and workspace checks. One semantic concern remains: paid pilot execution precedes the explicit approval step. No evidence found of prompt injection, credential exfiltration, or malicious command execution in the supplied files; hosted service implementation was not reviewed.
已確認的安全問題 (1)
風險因素
⚙️ 外部命令 (47)
🌐 網路存取 (9)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/getcargohq-cargo-mcp/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/getcargohq-cargo-mcp?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/getcargohq-cargo-mcp?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/getcargohq-cargo-mcp/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/getcargohq-cargo-mcp.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
getcargohq. (2026). cargo-mcp security audit report (audit version 1) [Author version 1.0.3]. Skillstore. https://skillstore.io/skills/getcargohq-cargo-mcp/audits/1BibTeX 引用
@techreport{getcargohq-getcargohq-cargo-mcp-2026,
author = {getcargohq},
title = {cargo-mcp security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/getcargohq-cargo-mcp/audits/1},
note = {Author version 1.0.3}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "cargo-mcp security audit report (audit version 1)"
version: "1.0.3"
type: report
authors:
- name: "getcargohq"
date-released: "2026-10-12"
url: "https://skillstore.io/skills/getcargohq-cargo-mcp/audits/1"
identifiers:
- type: other
value: "skillstore:getcargohq-cargo-mcp:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Connect an AI Client
Configure hosted Cargo access and verify the correct workspace without installing the Cargo CLI for MCP operations.
Enrich an Approved Batch
Inspect action pricing, obtain pilot approval, test a small sample, and submit an approved batch with a downloadable result.
Configure Headless Access
Connect a headless client with an environment-supplied workspace token and inspect available tools, schemas, and recent usage.
試試這些提示
Guide me through connecting Cargo MCP to Claude Desktop with OAuth. Verify and report the workspace before running any action.
Find available company enrichment actions in my workspace. Show their credit costs and required inputs. Do not execute any action.
Plan enrichment for my approved records. Request pilot budget approval before execution. Report sample results, then request separate approval for the remaining batch.
Plan headless Cargo MCP access using an environment token. Verify workspace identity, discover tools, inspect schemas, and define polling without exposing credentials.
最佳實務
- Verify and report the authenticated workspace before reading data or running actions.
- Approve pilot costs and data processing before execution, then approve the full batch estimate separately.
- Inspect action schemas, preserve returned action descriptors, and supply inputs through data or records.
避免
- Running paid pilot records without explicit user authorization.
- Placing action inputs in config or looping single-record calls instead of using batch execution.
- Treating a limited model query as complete SQL analysis or counting truncated results.
常見問題
Does hosted Cargo MCP require the Cargo CLI?
Which AI tools can use this skill?
Why does the first connection return 401?
How should I handle an API token?
Can actions spend credits or process personal data?
Why do tools differ between workspaces?
開發者詳細資訊
作者
getcargohq授權
MIT
作者版本
v1.0.3
Skillstore 修訂
r1
儲存庫
https://github.com/getcargohq/cargo-skills/tree/92c825ad4ba1bbbbeff96ae85e62187279f3854d/cargo-mcp引用
66c24a2eccc4b972904cd6d1e270ba98ea2d2b57
維護新鮮度
2026/10/13
使用量
0 次下載 · 0 次瀏覽
檔案結構