ModelScope_dataset_mcp-MCP_Agent_Challenge (zhangmask/ModelScopeMcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

Emerging

74/100

27 days ago

ModelScope_dataset_mcp-MCP_Agent_Challenge

Item: ModelScope_dataset_mcp-MCP_Agent_Challenge
Rating: 74
Author: M8ven

🚀 ModelScope Dataset Query Server Based on MCP Protocol A high-performance, user-friendly MCP (Model Context Protocol) server designed specifically for ModelScope dataset querying and management. It supports advanced features such as natural language queries, intelligent caching, and a multi-layer architecture. - 🔍 **Natural Language Queries** - Supports Chinese natural language queries for datasets - 🚀 **High-Performance Caching** - Multi-layer caching architecture for fast response ti

→ zhangmask/ModelScopeMcp · listed on modelscope

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every push why connect →

Who stands behind it

zhangmask

Source: modelscope

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

⚡ Connect GitHub for Live Monitored

Install from

modelscope

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// 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 4 credentials: SILICONFLOW_API_KEY, REDIS_PASSWORD, MODELSCOPE_TOKEN, HF_TOKEN

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.

🔐 secretSILICONFLOW_API_KEY

configSILICONFLOW_BASE_URL

configENVIRONMENT

configREDIS_HOST

configREDIS_PORT

configREDIS_DB

🔐 secretREDIS_PASSWORD

configLOG_LEVEL

configLOG_CONSOLE_OUTPUT

configLOG_FILE_OUTPUT

configLOG_FILE_PATH

configCACHE_ENABLED

configCACHE_DEFAULT_TTL

configDATABASE_ECHO

configDATABASE_POOL_SIZE

configDATABASE_MAX_OVERFLOW

configDATABASE_POOL_TIMEOUT

configDATABASE_POOL_RECYCLE

configREDIS_SOCKET_TIMEOUT

configREDIS_SOCKET_CONNECT_TIMEOUT

configREDIS_SOCKET_KEEPALIVE

configREDIS_CONNECTION_POOL_MAX_CONNECTIONS

configREDIS_RETRY_ON_TIMEOUT

configREDIS_HEALTH_CHECK_INTERVAL

configCACHE_MAX_MEMORY_SIZE

configCACHE_MAX_MEMORY_ENTRIES

configCACHE_CLEANUP_INTERVAL

configCACHE_EVICTION_POLICY

configLOG_FORMAT

configLOG_MAX_FILE_SIZE

configLOG_BACKUP_COUNT

configLOG_JSON_FORMAT

configMCP_NAME

configMCP_VERSION

configMCP_DESCRIPTION

configMCP_MAX_REQUEST_SIZE

configMCP_REQUEST_TIMEOUT

configMCP_MAX_CONCURRENT_REQUESTS

configDATASET_MODELSCOPE_ENABLED

configDATASET_HUGGINGFACE_ENABLED

configDATASET_CACHE_ENABLED

configDATASET_MAX_SAMPLES_PER_REQUEST

configDATASET_DEFAULT_PAGE_SIZE

configDATASET_MAX_PAGE_SIZE

configDATASET_SEARCH_TIMEOUT

configNLP_ENABLED

configNLP_CONFIDENCE_THRESHOLD

configNLP_MAX_QUERY_LENGTH

configNLP_CACHE_PARSED_QUERIES

configBASE_DIR

configDATA_DIR

configLOGS_DIR

configCACHE_DIR

configREDIS_SSL

configCACHE_TTL_DATASET_INFO

configCACHE_TTL_QUERY_RESULT

configCACHE_TTL_SAMPLE_DATA

configCACHE_MAX_SIZE

🔐 secretMODELSCOPE_TOKEN

🔐 secretHF_TOKEN

configMCP_SERVER_NAME

configMCP_SERVER_VERSION

configMCP_MAX_CONNECTIONS

configLOG_MAX_SIZE

configMAX_SAMPLES_PER_QUERY

configDEFAULT_SAMPLES_LIMIT

configQUERY_TIMEOUT

configMAX_WORKERS

configCHUNK_SIZE

configMEMORY_LIMIT

Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.

deployREDIS_URL

deployDATABASE_URL

// 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

5/5 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_datasets (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); query_dataset (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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

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 3 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/zhangmask/modelscopemcp)](https://m8ven.ai/mcp/zhangmask/modelscopemcp)

Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.

commit: 4ae8234e09a6607f06771149455dd80b2e502d9e

code hash: dac191052f1e5fc62fabf1c928e7fbb0dbf0245df24426743887fae66aca8055

verified: 8/13/2026, 9:24:40 PM

view raw JSON →

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