mol-open-data-mcp (supermanko1102/mol-open-data-mcp) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 5 tools. No publisher has claimed this listing.
Enables querying Taiwan's Ministry of Labor open data, including lists of companies violating labor laws with fuzzy search, and searching/querying ministry datasets.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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supermanko1102
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
search_violations查詢台灣公司或雇主的違反勞動法令紀錄(勞基法、就服法)。支援模糊比對:輸入「鼎泰豐」可比對到「鼎泰豐小吃店股份有限公司」。資料來源為勞動部公告,由本服務每日同步。
find_datasets搜尋勞動部開放資料集。可用標籤(如「勞保」「職業訓練」)或服務分類碼查詢,回傳資料集識別碼清單,再用 get_dataset_info 取得細節。
get_dataset_info取得單一資料集的詮釋資料:標題、描述、更新頻率、每個資料資源的 resourceID、格式與欄位說明。查資料前先用它拿 resourceID 和欄位名稱。
query_data查詢資料資源內容(勞動部 datastore API)。filters 為欄位的精確比對,例 {"年度":"2023"};欄位名稱請先用 get_dataset_info 確認。注意:上游不回總筆數,且 sort 只支援升冪。
data_freshness回報違規名單快取(search_violations 所查的資料)最近一次同步時間與筆數。
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
Wrangler affected by OS Command Injection in `wrangler pages deploy`
Cloudflare Agents is Vulnerable to Reflected Cross-Site Scripting in the AI Playground's OAuth callback handler
MOL_API_BASETool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
5/5 tools missing one or more hints — search_violations (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); find_datasets (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_dataset_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
4/5 tool handlers declare input schemas (80%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/5 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.0 (high), @modelcontextprotocol/sdk@1.12.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Dev dependencies
1 critical/high in dev-only deps (does not ship to users)
Upgrade dev dependencies when convenient.
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