C
Limited view
67/100
14 days ago

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Jupyter Notebook is partially covered.

How we verified

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Who stands behind it

lingduoduo

Source: github_code

Is this your MCP?

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 8 credentials: OPENAI_API_KEY, EXTERNAL_API_KEY, RAGFLOW_API_KEY, NOTION_API_KEY, HUGGINGFACE_API_KEY, OPENROUTER_API_KEY, GEMINI_API_KEY, DIFY_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configOPENAI_MODEL
configENABLE_MCP_TOOLS
configAGENT_HOST
🔐 secretOPENAI_API_KEYPreferred credentials: , fallback to OPENROUTER_API_KEY (gpt- remapped to openai/).
🔐 secretEXTERNAL_API_KEY
configRAGFLOW_MODE
configRAGFLOW_BASE_URL
🔐 secretRAGFLOW_API_KEY
configRAGFLOW_SEARCH_PATH
configREQUEST_TIMEOUT_SECONDS
configLOG_LEVEL
configPERCEPTION_VISION_MODEL
🔐 secretNOTION_API_KEY
🔐 secretHUGGINGFACE_API_KEY
configCOST_DEMO_MODELsets the default model; --model overrides it for a single run and selects the price preset.
🔐 secretOPENROUTER_API_KEYPreferred credentials: OPENAI_API_KEY, fallback to (gpt- remapped to openai/).
🔐 secretGEMINI_API_KEY
🔐 secretDIFY_API_KEY
configLLM_MODEL
configLLM_TEMPERATURE
configLLM_MAX_TOKENS
configKB_TYPE
configDENSE_PORT
configDENSE_HOST
configDENSE_MODEL
configDENSE_SERVICE_URL
configSPARSE_SERVICE_URL
configPIPELINE_PORT
configPIPELINE_HOST
configHF_HUB_OFFLINE
configTRANSFORMERS_OFFLINE
// quality suggestions

Tool 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

115/115 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); dynamic_tool_30 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); web_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +112 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

101/111 tool handlers declare input schemas (91%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

Only 3/111 tool handlers wrap calls in try/catch (3%)

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.

Shell command execution

15 child_process calls — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/lingduoduo-llm-notebooks-g11gnj)](https://m8ven.ai/mcp/lingduoduo-llm-notebooks-g11gnj)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 26ed791eaa11450c725c57214b515615a45b1e74
code hash: d73188e8dfe2bc28cfccf2b78c4f2394b2f879f79b627887d5f70a4a867634e4
verified: 8/8/2026, 7:59:36 AM
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